Hidetomo Ichihashi

发表

Efficient algorithms for acquiring fuzzy rules from examples

Hidetomo Ichihashi, 1995 .

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).

Structural learning with M-apoptosis in neurofuzzy GMDH

Hidetomo Ichihashi, Tetsuya Miyoshi, Takashi Ohtani, 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

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).

A Modalistic Formalization of Fuzzy Mathematical Programming Problems

Hidetomo Ichihashi, Masahiro Inuiguchi, Yasufumi Kume, 1989 .

Neurofuzzy Cognitive Maps with Adaptive B-Splines

Hidetomo Ichihashi, Tetsuya Miyoshi, Takashi Ohtani, 1998, Inf. Sci..

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).

Adaptive learning networks of multi-stage fuzzy production rules in expert system of grinding characteristics

Hidetomo Ichihashi, K. Nagasaka, R. Leonard, 1994 .

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.

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).

Learning Control by Fuzzy Models Using a Simplified Fuzzy Reasoning

Hidetomo Ichihashi, Toshihiko Watanabe, H. Ichihashi, 1990 .

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).

Linear Fuzzy Clustering With Selection of Variables Using Graded Possibilistic Approach

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

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 .

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).

Hard Clustering by Fuzzy c-Means

Hidetomo Ichihashi, Tetsuya Miyoshi, Tomohiro Ohta, 1998 .

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 .

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 .

Jeffrey-like rules of conditioning for the Dempster-Shafer theory of evidence

Hidetomo Ichihashi, Hideo Tanaka, 1989, Int. J. Approx. Reason..

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

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.

LVQ-FCV for missing value estimation and pattern classification

Hidetomo Ichihashi, Tetsuya Miyoshi, Eriko Ikeda, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

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

Local Quantification Method Using Possibilistic Constraint

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

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 .

A pointing device using coordinate transformation of neurofuzzy GMDH

Hidetomo Ichihashi, Tetsuya Miyoshi, Takashi Ohtani, 1998, 1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111).

Neurofuzzy Cognitive Maps with Adaptive B-Splines

Hidetomo Ichihashi, Tetsuya Miyoshi, Takashi Ohtani, 1998, Inf. Sci..

Fuzzy and semi-infinite mathematical programming

Hidetomo Ichihashi, Masahiro Inuiguchi, M. K. Luhandjula, 1992, Inf. Sci..

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..

Structural learning of neurofuzzy GMDH with Minkowski norm

Hidetomo Ichihashi, Tetsuya Miyoshi, Takashi Ohtani, 1998, 1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111).

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.

Simultaneous approach to fuzzy cluster, principal component and multiple regression analysis

Hidetomo Ichihashi, Tetsuya Miyoshi, Asuka Yamakawa, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

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.

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

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2010 .

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.

Analytic hierarchy process based on interval analysis

Hidetomo Ichihashi, Hideo Tanaka, Tomoe Entani, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

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

A neuro-fuzzy approach with pairwise comparisons

Hidetomo Ichihashi, I. Burhan Türksen, I. Türksen, 1993, IEEE International Conference on Neural Networks.

Neuro-fuzzy projection pursuit regression

Hidetomo Ichihashi, Tetsuya Miyoshi, K. Nagasaka, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Regression and Classification by Neuro Fuzzy Projection Pursuit

Hidetomo Ichihashi, Tetsuya Miyoshi, K. Nagasaka, 1996 .

Learning chaotic dynamics in recurrent RBF network

Hidetomo Ichihashi, Tetsuya Miyoshi, S. Okamoto, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

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).

Neuro-fuzzy ID3: a method of inducing fuzzy decision trees with linear programming for maximizing entropy and an algebraic method for incremental learning

Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka, 1996, Fuzzy Sets Syst..

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.

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 .

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 .

The Extension of Fuzzy Preference Relation Based on the Modal Concept and Its Properties

Hidetomo Ichihashi, Hideo Tanaka, Masahiro Inuiguchi, 1988 .

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).

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.

Learning of Neurofuzzy GMDH by Successive Projection Method

Hidetomo Ichihashi, Tetsuya Miyoshi, Takashi Ohtani, 1996 .

Some properties of extended fuzzy preference relations using modalities

Hidetomo Ichihashi, Masahiro Inuiguchi, Yasufumi Kume, 1992, Inf. Sci..

A Pointing Device Using Hand and Fingers Equipped with a Multi-color Tracker

Hidetomo Ichihashi, Tetsuya Miyoshi, Takashi Ohtani, 1997 .

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).

Fuzzy c-Means Clustering Algorithm with Pseudo Mahalanobis Distances

Hidetomo Ichihashi, Tetsuya Miyoshi, Masayuki Ohue, 1999 .

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).

A neurofuzzy approach to variational problems by using Gaussian membership functions

Hidetomo Ichihashi, Tetsuya Miyoshi, T. Wakamatsu, 1995, Int. J. Approx. Reason..

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).

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).

Effect of Regularization in Neuro-fuzzy Computerized Tomography

Hidetomo Ichihashi, Tetsuya Miyoshi, K. Nagasaka, 1995 .

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 .

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..

Spatiotemporal brain activities in recalling sentence by loci mnemonic system

Hidetomo Ichihashi, Hisashi Toyoshima, Takahiro Yamanoi, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

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

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2008 .

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 .

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.

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 .

43. Optimistic Priority Weights with an

Hidetomo Ichihashi, Hideo Tanaka, Tomoe Entani, 2001 .

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).

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).

Human Evaluation and Fuzzy

Hidetomo Ichihashi, 1992 .

Simultaneous application of clustering and correspondence analysis

Hidetomo Ichihashi, Tetsuya Miyoshi, Asuka Yamakawa, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

A Pointing Device Using Coordinate Transformation by Neurofuzzy GMDH

Hidetomo Ichihashi, Tetsuya Miyoshi, Takashi Ohtani, 1998 .

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 .

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.

Orthogonal and Successive Projection Methods for Learning of Neurofuzzy GMDH

Hidetomo Ichihashi, Tetsuya Miyoshi, Takashi Ohtani, 1998, Inf. Sci..

Switching Projection Pursuit Regression Using Local Independent Components

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2006 .

Nonlinear component analysis by fuzzy clustering and multidimensional scaling methods

Hidetomo Ichihashi, Tetsuya Miyoshi, Eriko Ikeda, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

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

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

Fuzzy Programming: A Survey of Recent Developments

Hidetomo Ichihashi, Hideo Tanaka, Masahiro Inuiguchi, 1990 .

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.

Fuzzy projection pursuit density estimation by eigenvalue method

Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka, 1999, Int. J. Approx. Reason..

Neuro-Fuzzy and its application to Ergonomics

Hidetomo Ichihashi, 1994 .

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 .

ROC Analysis of FCM Classifier With Cauchy Weight

Hidetomo Ichihashi, Katsuhiro Honda, Fumiaki Matsuura, 2006 .

Linear Fuzzy Clustering for Mixed Databases Based on Optimal Scaling

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

A simple steepest descent method for minimizing Hopfield energy to obtain optimal solution of the TSP with reasonable certainty

Hidetomo Ichihashi, Tetsuya Miyoshi, G. H. Lee, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

A formulation of Linear Programming Problem by Fuzzy Function

Hidetomo Ichihashi, Hideo Tanaka, Kiyoji Asai, 1983 .

Fuzzy Clustering and Probabilistic PCA Model

Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda, 2008 .

Analysis of Psychological Feelings for CI Symbol Marks by Fuzzy Clustering

Hidetomo Ichihashi, Tetsuya Miyoshi, Asuka Yamakawa, 1999 .

Fuzzy Control of a Robotic Manipulator by the Feedback Error Learning

Hidetomo Ichihashi, Toshihiko Watanabe, 1990 .

Optimistic Priority Weights with an Interval Comparison Matrix

Hidetomo Ichihashi, Tomoe Entani, Hideo Tanaka, 2001, JSAI Workshops.

Computer Tomography by Neuro-Fuzzy Inversion

Hidetomo Ichihashi, Tetsuya Miyoshi, K. Nagasaka, 1994 .

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 .

Successive Projection Method for Learning of Neurofuzzy GMDH

Hidetomo Ichihashi, Tetsuya Miyoshi, Takashi Ohtani, 1997 .

Modality constrained programming problems: A unified approach to fuzzy mathematical programming problems in the setting of possibility theory

Hidetomo Ichihashi, Masahiro Inuiguchi, Yasufumi Kume, 1993, Inf. Sci..

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 .

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.

A Quantification Method of Pairwise Comparisons by Neuro-Like Fuzzy Modeling

Hidetomo Ichihashi, 1992 .

Possibilistic Linear Programming with Measurable Multiattribute Value Functions

Hidetomo Ichihashi, Masahiro Inuiguchi, Hideo Tanaka, 1989, INFORMS J. Comput..

Conceptual graph generation from text documents based on perceptual balance

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

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

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

Obituary

Hidetomo Ichihashi, Masahiro Inuiguchi, 2013, Fuzzy Sets Syst..

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.

Maximum Entropy Algorithms for Uncertainty Measures

Hidetomo Ichihashi, Hung T. Nguyen, Yoichiro Maeda, 1993, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

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..

An aooroach to improvement by adjusting outputs considering interval efficiency values

Hidetomo Ichihashi, Hideo Tanaka, Tomoe Entani, 2004 .

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

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

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.

Quantification of Multivariate Categorical Data Considering Typicality of Item

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

Linear Fuzzy Clustering with Regularization by K-L information

Hidetomo Ichihashi, Katsuhiro Honda, Akihiro Kanda, 2003 .

A neuro-fuzzy approach to data analysis of pairwise comparisons

Hidetomo Ichihashi, I. Burhan Türksen, I. Türksen, 1993, Int. J. Approx. Reason..

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.

A Fuzzy Fault Tree Formulated by a Class of Fuzzy Measures

Hidetomo Ichihashi, Hideo Yanaka, H. Ichihashi, 1987 .

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.

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.

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.

Computed tomography by neuro-fuzzy inversion

Hidetomo Ichihashi, Tetsuya Miyoshi, K. Nagasaka, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

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.

Fuzzy ID3 and Its Application to Rules Generation for Process Distribution in Grinding.

Hidetomo Ichihashi, Atsushi Matsubara, Iwao Yamaji, 1997 .

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).

Component-wise robust linear fuzzy clustering for collaborative filtering

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

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

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

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.

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

Determination of single-sampling-attribute plans based on membership functions

Hidetomo Ichihashi, Hiroshi Ohta, H. Ohta, 1988 .

DECISION PROCEDURES BASED ON MODAL CONCEPT AND ITS APPLICATION TO FUZZY MULTI-OBJECTIVE LINEAR PROGRAMMING PROBLEM

Hidetomo Ichihashi, Masahiro Inuiguchi, Hideo Tanaka, 1987 .

Set-Cover Theoretical Diagnosis Based on Fuzzy Symptoms

Hidetomo Ichihashi, Hisao Ishibuchi, Hideo Tanaka, 1989 .

Modality Constrained Programming Problems and Various Fuzzy Mathematical Programming Problems

Hidetomo Ichihashi, Masahiro Inuiguchi, Yasufumi Kume, 1990 .

Neuro-fuzzy data analysis and its future directions

Hidetomo Ichihashi, J. B. Turksen, 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..

Local Quantification of Multivariate Categorical Data Using Graded Possibilistic Approach

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

A Heuristic Model Selection Criterion Using Distorter and Its Application to Determination of the Number of Hidden Units in RBFN

Hidetomo Ichihashi, Hajime Tabuchi, Tetsuya Miyoshi, 1998 .

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 .

Algebraic reconstruction technique for neuro-fuzzy geotomography

Hidetomo Ichihashi, Hajime Tabuchi, Tetsuya Miyoshi, 1997, Proceedings of 6th International Fuzzy Systems Conference.

Neuro-Fuzzy GMDH and Its Application to Modelling Grinding Characteristics

Hidetomo Ichihashi, K. Nagasaka, R. Leonard, 1995 .

Relationships between modality constrained programming problems and various fuzzy mathematical programming problems

Hidetomo Ichihashi, Masahiro Inuiguchi, Yasufumi Kume, 1992 .

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 .

Fuzzy projection pursuit ID3

Hidetomo Ichihashi, T. Miyoshi, Tetsuya Miyoshi, 1997, Proceedings of 6th International Fuzzy Systems Conference.

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..

A Generalization of Bayes Theorem in Theory of Evidence

Hidetomo Ichihashi, Yutaka Maeda, 1992 .

Relative modalities and their use in possibilistic linear programming

Hidetomo Ichihashi, Masahiro Inuiguchi, M. Inuiguchi, 1990 .

Agent Simulation Based on Perceptual Balance

Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, 2007 .

Fuzzy Integrals and Their Applications to Multiple Attribute Decision Problems

Hidetomo Ichihashi, Hideo Tanaka, Kiyoji Asai, 1986 .

FCM Classifier Based on IRLS and Fuzzy Mahalanobis Distances

Hidetomo Ichihashi, Katsuhiro Honda, Takafumi Yagi, 2005 .