Katsuhiro Honda

发表

A fuzzy variant of k-member clustering for collaborative filtering with data anonymization

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2006, RSCTC.

Proposed particle-filtering method for reinforcement learning

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Handling Mixed Measurement Level Data in Adaptive Fuzzy c -Regression

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008 .

Fuzzy c-means classifier with particle swarm optimization

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Classifier of BOLD signals from active and inactive brain states using FCM clustering and evolutionary algorithms

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

FCM-type co-clustering with exclusive partition of selected items and application to collaborative filtering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

Aggregation of Standard and Entropy Based Fuzzy c-Means Clustering by a Modified Objective Function

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.

Fuzzy c-means clustering with regularization by K-L information

Hidetomo Ichihashi, Katsuhiro Honda, Kiyotaka Miyagishi, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Simultaneous Application of PLS Regression and FCM-type Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2006, 2006 IEEE International Conference on Fuzzy Systems.

A Regularization Approach to Fuzzy Clustering with Nonlinear Membership Weights

Hidetomo Ichihashi, Katsuhiro Honda, H. Ichihashi, 2007, J. Adv. Comput. Intell. Intell. Informatics.

Visualization of Non-Euclidean Relational Data by Robust Linear Fuzzy Clustering Based on FCMdd Framework

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2013, J. Adv. Comput. Intell. Intell. Informatics.

Automatic Adaptive Space Segmentation for Reinforcement Learning

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2012, Int. J. Fuzzy Log. Intell. Syst..

Improvement in the Training Time of Fuzzy c-Means Based Classifier

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011 .

Fuzzy Principal Coordinate Analysis

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009 .

Reinforcement learning with particles for instant optimality

Linear fuzzy clustering based on least absolute deviations

Hidetomo Ichihashi, Katsuhiro Honda, T. Fujii, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

A New Approach to Fuzzification of Memberships in Cluster Analysis

Hidetomo Ichihashi, Katsuhiro Honda, H. Ichihashi, 2005, MDAI.

Fuzzy clustering algorithm extracting principal components independent of subsidiary variables

Hidetomo Ichihashi, Katsuhiro Honda, Chi-Hyon Oh, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

A comparative study on cluster validity criteria in linear fuzzy clustering and pareto optimality analysis

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Fuzzy DA Clustering-Based Improvement of Probabilistic Latent Semantic Analysis

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, IUKM.

Benchmarking parameterized fuzzy c-Means classifier

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009, 2009 IEEE International Conference on Fuzzy Systems.

A new approach to robust k-Means clustering based on fuzzy principal component analysis

Hidetomo Ichihashi, Katsuhiro Honda, Tomohiro Matsui, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Fuzzy c-Regression Models Based on Optimal Scaling of Categorical Observation with Tolerance

Katsuhiro Honda, Akira Notsu, Shunsuke Iwata, 2014, Soft Computing in Artificial Intelligence.

Visual Co-Cluster Assessment with Intuitive Cluster Validation Through Cooccurrence-Sensitive Ordering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018, J. Adv. Comput. Intell. Intell. Informatics.

Semi-hard Clustering with Application to Classifier Design

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010 .

Linear fuzzy clustering of relational data based on extended Fuzzy c-Medoids

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

A Comparative Study on SOM-Based Visualization of Potential Technical Solutions Using Fuzzy Bag-of-Words and Co-occurrence Probability of Technical Words

Katsuhiro Honda, Yasushi Nishida, Katsuhiro Honda, 2019, IUKM.

Linear Fuzzy Clustering With Selection of Variables Using Graded Possibilistic Approach

Hidetomo Ichihashi, Katsuhiro Honda, Francesco Masulli, 2007, IEEE Transactions on Fuzzy Systems.

FCM-Type Co-clustering Transfer Reinforcement Learning for Non-Markov Processes

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, IUKM.

A Semi-Supervised Framework for MMMs-Induced Fuzzy Co-Clustering with Virtual Samples

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, Adv. Fuzzy Syst..

A Sequential Learning Algorithm for Collaborative Filtering With Linear Fuzzy Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

An Intuitive Text Mining Method Based on Variable Selection in Principal Component Analysis

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2007 .

Rough Set-Based Clustering Utilizing Probabilistic Memberships

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018, J. Adv. Comput. Intell. Intell. Informatics.

Partially exclusive condition for sequential fuzzy co-cluster extraction

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Fuzzy c-means clustering with regularization by K-L information

Hidetomo Ichihashi, Katsuhiro Honda, Kiyotaka Miyagishi, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Bicycle Parking Lot Vacancy Detector with FFT and FCM Classifier by Using Camera Images

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009 .

Generalization of FCv and robust shell clustering based on least absolute deviations

Hidetomo Ichihashi, Katsuhiro Honda, Nobuhiro Togo, 2003 .

Variations of Fuzzy Clustering for Cooccurrence Matrix and Their Application to Text Analysis

Hidetomo Ichihashi, Katsuhiro Honda, Chi-Hyon Oh, 2008 .

Exclusive Item Partition with Fuzziness Tuning in MMMs-Induced Fuzzy Co-clustering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, IUKM.

Fuzzy clustering for categorical multivariate data

Hidetomo Ichihashi, Katsuhiro Honda, Chi-Hyon Oh, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

Fuzzy c-Regression Models with direction-dependent uncertainty and its application to residential solar electric power analysis

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Item-based Collaborative Filtering by Linear Fuzzy Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2007 .

A Greedy Algorithm for k-Member Co-clustering and its Applicability to Collaborative Filtering

Katsuhiro Honda, Akira Notsu, Arina Kawano, 2013, KES.

Algorithms for Fuzzy Clustering - Methods in c-Means Clustering with Applications

Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda, 2008, Studies in Fuzziness and Soft Computing.

A fuzzy model-based community simulator for behavior analysis in virtual theme park

Hidetomo Ichihashi, Katsuhiro Honda, Chi-Hyon Oh, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Cluster validation in k-Means clustering of mixed databases based on principal component analysis

Cluster Validation in Multinomial Mixtures-Induced Fuzzy Co-Clustering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS).

An Ensemble Learning Approach Based on Missing-Valued Tables

Katsuhiro Honda, Taro Miyazaki, Akira Notsu, 2015, RSFDGrC.

MMMs-induced k-member co-clustering for k-anonymization of cooccurrence information

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A fuzzy co-clustering interpretation of probabilistic latent semantic analysis

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Post-supervized Fuzzy Classifier and Application to Surveillance of Combustion in Incinerator

Hidetomo Ichihashi, Katsuhiro Honda, Tatsuya Katada, 2006 .

Local Independent Component Analysis with Fuzzy Clustering and Regression-principal Component Analysis

Hidetomo Ichihashi, Katsuhiro Honda, Tatsuya Maenaka, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Post-supervised Fuzzy c-Means Classifier with Hard Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Takao Hattori, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Intrinsic scenario estimation by noise fuzzy clustering in group decision making

Katsuhiro Honda, Akira Notsu, Tomoe Entani, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Privacy Preserving Collaborative Fuzzy Co-clustering of Three-Mode Cooccurrence Data

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018, MDAI.

Application of Local Quantification Method Using Graded Possibilistic Approach to Questionnaire Data

Hidetomo Ichihashi, Katsuhiro Honda, Chi-Hyon Oh, 2008 .

Comparison on membership functions in fuzzy k-member clustering for data anonymization

Solving data preprocessing problems in existing location-aware systems

Katsuhiro Honda, Toly Chen, Katsuhiro Honda, 2018, J. Ambient Intell. Humaniz. Comput..

Local Quantification Method Using Possibilistic Constraint

Hidetomo Ichihashi, Katsuhiro Honda, Chi-Hyon Oh, 2005 .

Privacy preserving fuzzy co-clustering with distributed cooccurrence matrices

Katsuhiro Honda, Akira Notsu, Daiji Tanaka, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

Partially Exclusive Item Partition in MMMs-Induced Fuzzy Co-Clustering and its Effects in Collaborative Filtering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, J. Adv. Comput. Intell. Intell. Informatics.

Linear fuzzy clustering techniques with missing values and their application to local principal component analysis

Hidetomo Ichihashi, Katsuhiro Honda, 2004, IEEE Transactions on Fuzzy Systems.

Extraction of Local Principal Component Independent of External Criteria by Fuzzy Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Chi-Hyon Oh, 2000 .

Application of the UCT Algorithm for Noisy Optimization Problems

fMRI by FCM Clustering in Recalling Sentences

Hidetomo Ichihashi, Katsuhiro Honda, 2005 .

Robust PCA with Intra-Sample Outlier Process Based on Fuzzy Mahalanobis Distances and Noise Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Noboru Wakami, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

A privacy-preserving crowd movement analysis by k-member clustering of face images

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, 2015 International Conference on Informatics, Electronics & Vision (ICIEV).

Visualization of Technical Solution by Self-Organizing Maps for Accelerating Innovation

Katsuhiro Honda, Yasushi Nishida, 2018 .

A cluster validity index for FCM-type co-clustering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Fuzzy c-Means Classifier for Relational Data

Hidetomo Ichihashi, Katsuhiro Honda, Yasuhiro Kuramoto, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

A brain activity analysis by fuzzy clustering-based switching regression

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008 .

PCA-Tree NNS with two approximation methods and annulus bound method

Simultaneous Approach to Fuzzy Clustering and Quantification of Categorical Data with Missing Values

Hidetomo Ichihashi, Katsuhiro Honda, Nakamura, 2003 .

Improvement of PCA-Based Approximate Nearest Neighbor Search Using Distance Statistics

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2014, J. Adv. Comput. Intell. Intell. Informatics.

Robust Clustering in Fuzzy C-Means with Regularization by Cross Entropy

Hidetomo Ichihashi, Katsuhiro Honda, 2002, FSKD.

FCM-type switching regression with alternating least squares method

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Visualization of balancing systems based on naïve psychological approaches

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008, AI & SOCIETY.

FCM-type fuzzy co-clustering by K-L information regularization

Katsuhiro Honda, Akira Notsu, Shunnya Oshio, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Local Coordinate Rotation for Cross-shape Cluster Extraction in Linear Fuzzy Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010 .

A Deterministic Clustering Framework in MMMs-Induced Fuzzy Co-clustering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, IUKM.

Cluster validation in k-Means clustering based on PCA-guided k-Means and procrustean transformation of PC scores

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Noise Rejection in MMMs-Induced Fuzzy Co-Clustering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2017, J. Adv. Comput. Intell. Intell. Informatics.

A study on fuzzy co-clustering with partial supervision and virtual samples

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Robust local subspace learning by linear fuzzy clustering with Alternative c-Means criterion

Exclusive condition on item partition in fuzzy co-clustering based on K-L information regularization

Katsuhiro Honda, Akira Notsu, Chi-Hyon Oh, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

Xie-Beni-Type Fuzzy Cluster Validation in Fuzzy Co-clustering of Documents and Keywords

Katsuhiro Honda, Akira Notsu, Mai Muranishi, 2014, Soft Computing in Artificial Intelligence.

Collaborative Filtering by Linear Fuzzy Clustering Considering Categories of Users

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008 .

Agent-based social simulation based on cognitive economic efficiency

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Collaborative Filtering Based on Sequential Extraction of User-Item Clusters

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009 .

A study on effect of user preference variety in virtual theme park simulation

Hidetomo Ichihashi, Katsuhiro Honda, Chi-Hyon Oh, 2010, 2010 World Automation Congress.

A Greedy Fuzzy k -Member Co-clustering Algorithm and Collaborative Filtering Applicability

Katsuhiro Honda, Akira Notsu, Arina Kawano, 2015 .

Fuzzy Co-clustering for Categorization of Subjects in Questionnaire Considering Responsibility of Each Question

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2019, IUKM.

Cluster validation in linear fuzzy clustering of relational data from multi-cluster principal coordinate analysis view point

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Adaptive Collaborative Filtering Using Linear Fuzzy Clustering with Sequential Learning

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2007 .

A semi-supervised fuzzy co-clustering framework and application to twitter data analysis

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, 2015 International Conference on Informatics, Electronics & Vision (ICIEV).

Fuzzy c-Means Classifier for Large Scale Data

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010 .

Fuzzy local independent component analysis with external criteria and its application to knowledge discovery in databases

Hidetomo Ichihashi, Katsuhiro Honda, H. Ichihashi, 2006, Int. J. Approx. Reason..

Variations and Generalizations - II

Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda, 2008 .

Hybrid objective function of Fuzzy c-Varieties and cross-shape fuzzy cluster extraction

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Performance Investigation of UCB Policy in Q-learning

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Local Principal Component Analysis for Mixed Databases Based on Linear Fuzzy Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2007 .

Collaborative filtering by sequential user-item co-cluster extraction from rectangular relational data

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010, Int. J. Knowl. Eng. Soft Data Paradigms.

A comparative study on clustering-based group scenario summarization in AHP

Katsuhiro Honda, Akira Notsu, Tomoe Entani, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

Fuzzy Co-Clustering Induced by Multinomial Mixture Models

Katsuhiro Honda, Akira Notsu, Shunnya Oshio, 2015, J. Adv. Comput. Intell. Intell. Informatics.

A fuzzy co-clustering model for three-modes relational cooccurrence data

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Independent Component Analysis for Feature Extraction Concerning External Criteria

Hidetomo Ichihashi, Katsuhiro Honda, Tatsuya Maenaka, 2006 .

PCA-guided k-Means clustering with incomplete data

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Social Simulation Concerning Making Images of Groups

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010 .

Consideration of Context-based Designing Method for Complex-valued Reinforcement Learning

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010 .

Performance Comparison of Collaborative Filtering with k-Anonymized Data by Fuzzy k-Member Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2014, J. Adv. Comput. Intell. Intell. Informatics.

Information compression effect based on PCA for reinforcement learning agents' communication

Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals

Hidetomo Ichihashi, Katsuhiro Honda, Chi-Hyon Oh, 2005, MDAI.

Fuzzy c-Means Classifier for Incomplete Data Sets with Outliers and Missing Values

Hidetomo Ichihashi, Katsuhiro Honda, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

Ellipse detection with hard c-regression models and random initializations

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

An Ensemble Learning Approach Based on Rough Set Preserving the Qualities of Approximations

Katsuhiro Honda, Taro Miyazaki, Akira Notsu, 2015, IUKM.

Epidemie process simulator by multi agent simulation considering urban models

Katsuhiro Honda, Akira Notsu, Yuichi Hattori, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

A study on regularization effects of fuzzified memberships in FCM clustering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, Adv. Fuzzy Syst..

Visual Assessment of Cluster Tendency in Relational Data Considering Sample Responsibilities

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009 .

Extraction of Local Principal Components from Data with Missing Values

Hidetomo Ichihashi, Katsuhiro Honda, Asuka Yamakawa, 2002 .

Utility of Turning Spot Learning under complex goal search and the limit of memory usage

Katsuhiro Honda, Akira Notsu, Yuki Tezuka, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

An Empirical Study on the Influence of Personalized Recommendation for Internet Users

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010 .

FCM Clustering from the View Point of Iteratively Reweighted Least Squares

Hidetomo Ichihashi, Katsuhiro Honda, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

Extraction of Plane-like Structures from Relational Data Based on Extended Fuzzy c-Medoids

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008 .

Possibilistic co-clustering based on extension of noise rejection scheme in FCCMM

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

Improvement by sorting and thresholding in PCA based nearest neighbor search

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Fuzzy c-Means Clustering for Mixed Databases

Hidetomo Ichihashi, Katsuhiro Honda, Ryo Uesugi, 2006 .

A study on fuzzy clustering-based k-anonymization for privacy preserving crowd movement analysis with face recognition

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

Mixed usage of MATLAB and visual C for improving classification time and training time of FCM classifier

Fuzzy Cluster Validation Based on Fuzzy PCA-Guided Procedure

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, Int. J. Fuzzy Syst. Appl..

Collaborative Filtering by User-Item Clustering Based on Structural Balancing Approach

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008 .

Fuzzy Robust PCA with Intra-sample Outlier Process

Hidetomo Ichihashi, Katsuhiro Honda, 2004 .

Simple Reinforcement Learning for Small-Memory Agent

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Item membership fuzzification in fuzzy co-clustering based on multinomial mixture concept

Katsuhiro Honda, Akira Notsu, Shunnya Oshio, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

Fuzzy co-clustering of vertically partitioned cooccurrence data with privacy consideration

Katsuhiro Honda, Akira Notsu, Toshiya Oda, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Fuzzy PCA-Guided Robust $k$-Means Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010, IEEE Transactions on Fuzzy Systems.

PCA-guided fuzzy cluster validation with noise rejection

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010, International Conference on Fuzzy Systems.

Extraction of Local Independent Components Using Fuzzy Clustering

Hidetomo Ichihashi, Katsuhiro Honda, M. Ohue, 2000 .

Local Feature Map Construction from Non-Euclidean Relational Data by FCMdd-type Linear Fuzzy Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2012 .

Fuzzy canonical correlation and cluster analysis for brain mapping on long term memory consolidated by mnemonics

Hidetomo Ichihashi, Katsuhiro Honda, Shoichi Araki, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

Beta Distribution Propagating Reinforcement Learning Based on Prospect Theory for the Efficient Exploration and Exploitation

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2017 .

Fuzzy Clustering/Co-clustering and Probabilistic Mixture Models-Induced Algorithms

Katsuhiro Honda, 2017, Fuzzy Sets, Rough Sets, Multisets and Clustering.

An FCMdd Based Linear Clustering Model for Non-Euclidean Relational Data

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010, SOCO 2010.

On parameter setting in applying Dave's noise fuzzy clustering to Gaussian mixture models

Hidetomo Ichihashi, Katsuhiro Honda, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

ファジィk-memberクラスタリングによる顔画像匿名化を伴うプライバシー保護群集行動分析;ファジィk-memberクラスタリングによる顔画像匿名化を伴うプライバシー保護群集行動分析;Privacy-preserving Crowd Movement Analysis with Fuzzy k-member Clustering-based Anonymization of Face Images

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016 .

Deterministic annealing process for pLSA-induced fuzzy co-clustering and cluster splitting characteristics

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018, Int. J. Approx. Reason..

A Collaborative Framework for Privacy Preserving Fuzzy Co-Clustering of Vertically Distributed Cooccurrence Matrices

Katsuhiro Honda, Akira Notsu, Daiji Tanaka, 2015, Adv. Fuzzy Syst..

Alternative fuzzy c-lines and local principal component extraction

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, Int. J. Knowl. Eng. Soft Data Paradigms.

Applicability of ICA-Based Dimension Reduction in Fuzzy c-Means-Based Classifier

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2013, ICONIP.

Structural learning of recurrent RBF networks with M-apoptosis

Hidetomo Ichihashi, Katsuhiro Honda, Tetsuya Miyoshi, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

A Study on Cluster Validation in Fuzzy Clustering Based on PCA-guided Procedure

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009 .

Development of General-purpose Optimization Methods Based on Bandit Algorithm

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016 .

Simultaneous Application of Fuzzy Clustering and Quantification with Incomplete Categorical Data

Hidetomo Ichihashi, Katsuhiro Honda, Yoshihito Nakamura, 2004, J. Adv. Comput. Intell. Intell. Informatics.

Classifier Designs Based on Modified Fuzzy c-Means Partition

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008 .

Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Shoichi Araki, 2001, Web Intelligence.

Switching Projection Pursuit Regression Using Local Independent Components

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2006 .

Fuzzy co-clustering considering site-wise confidence of vertically partitioned cooccurrence data

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

A Study on Privacy Preserving Collaborative Filtering with Data Anonymization by Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2012, IIMSS.

Contraction Algorithm in State and Action Space for Q-learning

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009 .

An Efficient Algorithm for Collaborative Filtering Based on Sequential User-item Co-cluster Extraction

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010, SOCO 2010.

A Study on Recommendation Ability in Collaborative Filtering by Fuzzy Co-Clustering with Exclusive Item Partition

A Noise Fuzzy Co-Clustering Scheme in MMMs-Induced Clustering

FCM-Type Fuzzy Clustering of Mixed Databases Considering Nominal Variable Quantification

Hidetomo Ichihashi, Katsuhiro Honda, Ryo Uesugi, 2007, J. Adv. Comput. Intell. Intell. Informatics.

ROC Analysis by FCM Classifier with Particle Swarm Optimization

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008 .

Noise rejection schemes for FCM-type co-clustering based on uniform noise distribution

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

ROC Analysis of FCM Classifier With Cauchy Weight

Hidetomo Ichihashi, Katsuhiro Honda, Fumiaki Matsuura, 2006 .

A study on applicability of fuzzy k-member clustering to privacy preserving pattern recognition

Katsuhiro Honda, Akira Notsu, Arina Kawano, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

MMMs-Induced Possibilistic Fuzzy Co-Clustering and its Characteristics

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018, J. Adv. Comput. Intell. Intell. Informatics.

Group decision support by interval AHP with uncertainty-based hierarchical clustering

Katsuhiro Honda, Tomoe Entani, Katsuhiro Honda, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Linear Fuzzy Clustering for Mixed Databases Based on Optimal Scaling

Hidetomo Ichihashi, Katsuhiro Honda, Ryo Uesugi, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Fuzzy Clustering and Probabilistic PCA Model

Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda, 2008 .

Alternative fuzzy c-regression models with tolerance

Katsuhiro Honda, Akira Notsu, Shunsuke Iwata, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

Fuzzy Co-Clustering and Application to Collaborative Filtering

Katsuhiro Honda, 2016, IUKM.

The Rough Membership k-Means Clustering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, IUKM.

Postsupervised Hard c-Means Classifier

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2006, RSCTC.

A Fuzzy Model-based Virtual Theme Park Simulator and Evaluation of Agent Action Models

Hidetomo Ichihashi, Katsuhiro Honda, Chi-Hyon Oh, 2010 .

Characteristics of Rough Set C-Means Clustering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018, J. Adv. Comput. Intell. Intell. Informatics.

FCM-type co-clustering of categorical multivariate data with exclusive partition

FCMdd-type linear fuzzy clustering for incomplete non-Euclidean relational data

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

A perceptual approach to user clustering in collaborative filtering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008, 2008 IEEE International Conference on Granular Computing.

Local Multivariate Analysis Based on Fuzzy Clustering

Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda, 2008 .

Co-cluster Structure Visualization by Spectral Ordering and Its Characteristics

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018 .

Dual Exclusive Partition in Fuzzy CoDoK and SCAD-based Fuzzy Co-clustering

Katsuhiro Honda, Chi-Hyon Oh, 2013, KES.

Fuzzy and Semi-hard c-Means Clustering with Application to Classifier Design

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010, IUM.

A Pareto Optimality Analysis in Linear Fuzzy Clustering with Crossing Prototypes

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009 .

Linear Fuzzy Clustering of Mixed Databases Based on Cluster-wise Optimal Scaling of Categorical Variables

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2007, 2007 IEEE International Fuzzy Systems Conference.

Conceptual graph generation from text documents based on perceptual balance

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009, 2009 IEEE International Conference on Fuzzy Systems.

International Conference in Knowledge Based and Intelligent Information and Engineering Systems-KES 2013 Intergration of Information Based on the Similarity in AHP

Katsuhiro Honda, Akira Notsu, Yuki Tezuka, 2013 .

Semi-hard c-means clustering with application to classifier design

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010, International Conference on Fuzzy Systems.

Particle Swarm for Reinforcement Learning

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010 .

Comparison of scaling behavior between fuzzy c-means based classifier with many parameters and LibSVM

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Parameter specification for fuzzy clustering by Q-learning

Modified Algorithm for Collaborative Filtering Based on Sequential Cluster Extraction

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010 .

PCA-Guided k-Means with Variable Weighting and Its Application to Document Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009, MDAI.

Visual assessment of co-cluster structure through cooccurrence-sensitive ordering

向きに依存した不確実性を考慮したスイッチング回帰モデルと太陽光発電データの分析への応用;向きに依存した不確実性を考慮したスイッチング回帰モデルと太陽光発電データの分析への応用;Switching Regression Considering Direction-dependent Uncertainty and Its Application to Solar Electric Power Analysis

Katsuhiro Honda, Akira Notsu, Shunsuke Iwata, 2014 .

Graded Possibilistic Approach to Variable Selection in Linear Fuzzy Clustering

Hidetomo Ichihashi, Katsuhiro Honda, Francesco Masulli, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

Optimization of Learning Cycles in Online Reinforcement Learning Systems

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Moratorium Effect on Estimation Values in Simple Reinforcement Learning

Katsuhiro Honda, Akira Notsu, Yuki Tezuka, 2013 .

Extraction of Local Minor Component by Fuzzy Clustering and Missing Value Estimation

Hidetomo Ichihashi, Katsuhiro Honda, Chi-Hyon Oh, 2003 .

FCM-Type Fuzzy Coclustering for Three-Mode Cooccurrence Data: 3FCCM and 3Fuzzy CoDoK

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2017, Adv. Fuzzy Syst..

The Rough Set k-Means Clustering

Alternative fuzzy c-lines and comparison with noise clustering in cluster validation

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Performance Comparison of FCMC and LibSVM for Classification of Large Data Sets

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010 .

Influence of the space segmentation and its adaptive automation for reinforcement learning

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Influence of Communications on Social Simulations Based on Cognitive Economic Efficiency

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010 .

Exploratory Approach to fMRI Study with Fuzzy Clustering and General Linear Model

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2006, 2006 IEEE International Conference on Fuzzy Systems.

A comparative study on effects of some exclusive conditions in fuzzy co-clustering for collaborative filtering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018 .

Quantification of Multivariate Categorical Data Considering Typicality of Item

Hidetomo Ichihashi, Katsuhiro Honda, Chi-Hyon Oh, 2007, J. Adv. Comput. Intell. Intell. Informatics.

MMMs-Induced Fuzzy Co-clustering with Exclusive Partition Penalty on Selected Items

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, IUKM.

Linear Fuzzy Clustering with Regularization by K-L information

Hidetomo Ichihashi, Katsuhiro Honda, Akihiro Kanda, 2003 .

Applications of Fuzzy Ensemble Approaches in Modeling, Forecasting, and Control

Katsuhiro Honda, Toly Chen, Yi-Chi Wang, 2013 .

BasicMethods for c-Means Clustering

Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda, 2008 .

Chain Form Reinforcement Learning for Small-Memory Agent

Hidetomo Ichihashi, Katsuhiro Honda, Yuki Iwamoto, 2012 .

Application of cluster validity criteria to Rock-Paper-Scissors game judgment

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Collaborative filtering by sequential extraction of user-item clusters based on structural balancing approach

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Variable Weighting in PCA-Guided k-Means and its Connection with Information Summarization

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, J. Adv. Comput. Intell. Intell. Informatics.

Application of xie-beni-type validity index to fuzzy co-clustering models based on cluster aggregation and pseudo-cluster-center estimation

Katsuhiro Honda, Akira Notsu, Mai Muranishi, 2014, 2014 14th International Conference on Intelligent Systems Design and Applications.

Triplet of FCM classifiers

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Local subspace learning by extended fuzzy c-medoids clustering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010, Int. J. Knowl. Eng. Soft Data Paradigms.

Application to Classifier Design

Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda, 2008, SOCO 2008.

Discounted UCB1-tuned for Q-learning

Katsuhiro Honda, Akira Notsu, Koki Saito, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

Improvement of Particle Filter for Reinforcement Learning

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Agent-Based Simulation About Social Value Emergence Based on Perceptual Balance

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Document map construction and keyword selection based on local PCA

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008 .

Regularized Discriminant in the Setting of Fuzzy c-Means Classifier

Hidetomo Ichihashi, Katsuhiro Honda, Takao Hattori, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Particle Swarm in State and Action Space for Q-learning

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2009 .

Sequential user-item weighted-cluster extraction for Collaborative filtering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010, 2010 World Automation Congress.

FCM classifier for high-dimensional data

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

State and action space segmentation algorithm in Q-learning

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

A novel approach to noise clustering in multivariate fuzzy c-Means

Component-wise robust linear fuzzy clustering for collaborative filtering

Hidetomo Ichihashi, Katsuhiro Honda, H. Ichihashi, 2004, Int. J. Approx. Reason..

Visualization of DEA Evaluation Results by PCA with Variable Selection

Katsuhiro Honda, Shingo Aoki, 2010 .

Visualization of Learning Process in "State and Action" Space Using Self-Organizing Maps

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, J. Adv. Comput. Intell. Intell. Informatics.

Incremental algorithms for fuzzy co-clustering of very large cooccurrence matrix

Katsuhiro Honda, Akira Notsu, Daiji Tanaka, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Non-Euclidean Extension of FCMdd-Based Linear Clustering for Relational Data

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, J. Adv. Comput. Intell. Intell. Informatics.

Efficiency measurement for agent simulation based on DEA with imprecise data

Katsuhiro Honda, Tomoharu Nakashima, Shingo Aoki, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Handling Very Large Cooccurrence Matrices in Fuzzy Co-clustering by Sampling Approaches

Katsuhiro Honda, Akira Notsu, Chi-Hyon Oh, 2014, Soft Computing in Artificial Intelligence.

Application of Kernel Trick to Fuzzy c-Means with Regularization by K-L Information

Hidetomo Ichihashi, Katsuhiro Honda, 2004, J. Adv. Comput. Intell. Intell. Informatics.

Fuzzy c-Means Classifier with Deterministic Initialization and Missing Value Imputation

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.

Proposal of Grid Area Search with UCB for Discrete Optimization Problem

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, IUKM.

Regularized linear fuzzy clustering and probabilistic PCA mixture models

Hidetomo Ichihashi, Katsuhiro Honda, H. Ichihashi, 2005, IEEE Transactions on Fuzzy Systems.

Robust FCMdd-based Linear Clustering for Relational Data with Alternative c-Means Criterion

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Template-based fuzzy clustering with cluster-wise coordinate transformation

Three-Mode Fuzzy Co-Clustering Based on Probabilistic Concept and Comparison with FCM-Type Algorithms

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2021, J. Adv. Comput. Intell. Intell. Informatics.

Fuzzy c-Varieties Clustering for Vertically Distributed Datasets

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2021, KES.

Linear Fuzzy Clustering of Distributed Databases Considering Privacy Preservation

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2021 .

Fuzzy-Possibilistic Clustering for Categorical Multivariate Data

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2021, 2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

Local Quantification of Multivariate Categorical Data Using Graded Possibilistic Approach

Hidetomo Ichihashi, Katsuhiro Honda, Chi-Hyon Oh, 2005 .

Cell Division Approach for Search Space in Reinforcement Learning

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008 .

Extraction of Independent Components from Regression-Principal Components

Hidetomo Ichihashi, Katsuhiro Honda, Tatsuya Maenaka, 2005 .

FCM-type Cluster Validation in Fuzzy Co-Clustering and Collaborative Filtering Applicability

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2013 .

Local Principal Component Analysis with Partitioning of Categories

Hidetomo Ichihashi, Katsuhiro Honda, Ryo Uesugi, 2005 .

Robust local principal component analyzer with fuzzy clustering

Hidetomo Ichihashi, Katsuhiro Honda, Nobukazu Sugiura, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Simultaneous Approach to Fuzzy Clustering, Principal Component and Multiple Regression Analysis

Hidetomo Ichihashi, Katsuhiro Honda, Asuka Yamakawa, 2000 .

Robust Extension of FCMdd-based Linear Clustering for Relational Data using Alternative c -Means Criterion

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2012 .

Gaussian Mixture PDF Approximation and Fuzzy c-Means Clustering with Entropy Regularization

Hidetomo Ichihashi, Katsuhiro Honda, H. Ichihashi, 2000 .

Exclusive Partition in FCM-type Co-clustering and Its Application to Collaborative Filtering

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2012 .

A unified view of probabilistic PCA and regularized linear fuzzy clustering

Hidetomo Ichihashi, Katsuhiro Honda, H. Ichihashi, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Agent Simulation Based on Perceptual Balance

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2007 .

FCM Classifier Based on IRLS and Fuzzy Mahalanobis Distances

Hidetomo Ichihashi, Katsuhiro Honda, Takafumi Yagi, 2005 .