Yukihiro Hamasuna

发表

On Tolerant Fuzzy c -Means Clustering

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2009, J. Adv. Comput. Intell. Intell. Informatics.

Semi-supervised Fuzzy c -Means Clustering for Data with Clusterwise Tolerance with Pairwise Constraints

Yukihiro Hamasuna, Yasunori Endo, 2010 .

Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularization

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2009, 2009 IEEE International Conference on Granular Computing.

Fuzzy c-Means with Quadratic Penalty-Vector Regularization Using Kullback-Leibler Information for Uncertain Data

Yukihiro Hamasuna, Yasunori Endo, Naohiko Kinoshita, 2015, J. Adv. Comput. Intell. Intell. Informatics.

A Method of Two-Stage Clustering Based on Cluster Validity Measures

Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo, 2016, SCIS&ISIS.

Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise Constraints

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2010, 2010 IEEE International Conference on Granular Computing.

On hard c -means with cluster radius that makes the cluster partition homotopy equivalent to weighted $$\alpha$$α -complex

Yukihiro Hamasuna, Yasunori Endo, Kanata Hoshino, 2020 .

Support Vector Machine for data with tolerance based on Hard-margin and Soft-Margin

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

On new sequential hard c-medoids

Yukihiro Hamasuna, Yasunori Endo, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

Fuzzy c-Means for Data with Rectangular Maximum Tolerance Range

Sadaaki Miyamoto, Yasushi Hasegawa, Yukihiro Hamasuna, 2008, J. Adv. Comput. Intell. Intell. Informatics.

A Method of Two-Stage Clustering Based on Cluster Validity Measures

Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo, 2016, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS).

Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge Utilization

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2007, J. Adv. Comput. Intell. Intell. Informatics.

Cluster Validity Measures Based Agglomerative Hierarchical Clustering for Network Data

Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo, 2019, J. Adv. Comput. Intell. Intell. Informatics.

On tolerant entropy regularized fuzzy c-means

Yukihiro Hamasuna, Yasunori Endo, Makito Yamashiro, 2008, 2008 IEEE International Conference on Granular Computing.

On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors

Sadaaki Miyamoto, Yuchi Kanzawa, Yukihiro Hamasuna, 2009, 2009 IEEE International Conference on Granular Computing.

Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms

Yukihiro Hamasuna, Yasunori Endo, Naohiko Kinoshita, 2014, MDAI.

Comparison of Semi-Supervised Hierarchical Clustering Using Clusterwise Tolerance

Yukihiro Hamasuna, Yasunori Endo, Y. Endo, 2012, J. Adv. Comput. Intell. Intell. Informatics.

Two Clustering Algorithms for Data with Tolerance based on Hard c-Means

Sadaaki Miyamoto, Yasushi Hasegawa, Yukihiro Hamasuna, 2007, 2007 IEEE International Fuzzy Systems Conference.

Agglomerative Hierarchical Clustering for Data with Tolerance

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2007, GrC.

On Clustering Algorithm Based on Probabilistic Similarity

Yukihiro Hamasuna, Yasunori Endo, Makito Yamashiro, 2008 .

Sequential Extraction by Using Two Types of Crisp Possibilistic Clustering

Yukihiro Hamasuna, Yasunori Endo, Y. Endo, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Fuzzy c-Means Clustering with Mutual Relation Constraints - Construction of Two Types of Algorithms

Yukihiro Hamasuna, Yasunori Endo, 2011, KES.

On principal component analysis for data with tolerance

Yukihiro Hamasuna, Yasunori Endo, Tatsuyoshi Tsuji, 2011, 2011 IEEE International Conference on Granular Computing.

On Kernelized Sequential Hard Clustering

Yukihiro Hamasuna, Yasunori Endo, 2016, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS).

On sparse possibilistic clustering with crispness — Classification function and sequential extraction

Yukihiro Hamasuna, Yasunori Endo, Y. Endo, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

A Study on Clustering Unweighted Network Data and Its Evaluation Using Cluster Validity Measure

Yukihiro Hamasuna, Daiki Kobayashi, Y. Hamasuna, 2018, 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS).

Fuzzy non-metric model for data with tolerance and its application to incomplete data clustering

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2011, FUZZ-IEEE.

On Hard Clustering for Data with Tolerance

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2008 .

Fuzzy c-Means Clustering for Data with Clusterwise Tolerance Based on L2- and L1-Regularization

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2011, J. Adv. Comput. Intell. Intell. Informatics.

On even-sized clustering algorithm based on optimization

Yukihiro Hamasuna, Yasunori Endo, Naohiko Kinoshita, 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 Controlled Node Sized Network Clustering for Unweighted Network Data

Yukihiro Hamasuna, Yasunori Endo, Shusuke Nakano, 2018, 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS).

On semi-supervised fuzzy c-means clustering

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2009, 2009 IEEE International Conference on Fuzzy Systems.

On Hard c-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data

Yukihiro Hamasuna, Yasunori Endo, Aoi Takahashi, 2011, MDAI.

k-Medoids Clustering Based on Kernel Density Estimation and Jensen-Shannon Divergence

Yukihiro Hamasuna, Shusuke Nakano, Yuto Kingetsu, 2019, MDAI.

On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2012, J. Adv. Comput. Intell. Intell. Informatics.

Hard and fuzzy c-regression models for data with tolerance in independent and dependent variables

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2010, International Conference on Fuzzy Systems.

Hard c-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data

Yukihiro Hamasuna, Yasunori Endo, Arisa Taniguchi, 2012, J. Adv. Comput. Intell. Intell. Informatics.

Rough set based non metric model

Yukihiro Hamasuna, Yasunori Endo, Ayako Heki, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

On tolerant fuzzy c-means clustering and tolerant possibilistic clustering

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2010, Soft Comput..

On Tolerant Fuzzy c-Means

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2008 .

On Mahalanobis distance based fuzzy c-means clustering for uncertain data using penalty vector regularization

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

On new sequential hard c-means and its kernelization

Yukihiro Hamasuna, Yasunori Endo, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

A study on cluster validity measures for clustering network data

Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

Semi-Supervised Hard and Fuzzy c-Means with Assignment Prototype Term

Yukihiro Hamasuna, Yasunori Endo, 2014, MDAI.

On Fuzzy Non-Metric Model for Data with Tolerance and its Application to Incomplete Data Clustering

Yukihiro Hamasuna, Yasunori Endo, Tomoyuki Suzuki, 2016, J. Adv. Comput. Intell. Intell. Informatics.

Fuzzified Even-Sized Clustering Based on Optimization

Yukihiro Hamasuna, Yasunori Endo, Kei Kitajima, 2018, J. Adv. Comput. Intell. Intell. Informatics.

On L1-Norm based tolerant fuzzy c-Means clustering

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2009, FUZZ-IEEE.

Comparison of Cluster Validity Measures Based x-Means

Yukihiro Hamasuna, Yasunori Endo, Naohiko Kinoshita, 2016, J. Adv. Comput. Intell. Intell. Informatics.

Cluster Validity Measures for Network Data

Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo, 2018, J. Adv. Comput. Intell. Intell. Informatics.

Metaheuristic Algorithms for Container Loading Problem by Grouping Objects

Yukihiro Hamasuna, Yasunori Endo, Koki Hanzawa, 2006 .

Fuzzy c -Means for Data with Tolerance Defined as Hyper-Rectangle

Sadaaki Miyamoto, Yasushi Hasegawa, Yukihiro Hamasuna, 2007, MDAI.

On various types of controlled-sized clustering based on optimization

Sachiko Ishida, Yukihiro Hamasuna, Yasunori Endo, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Hard and fuzzy c-means clustering with mutual relation constraints

Yukihiro Hamasuna, Yasunori Endo, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

On Some Clustering Algorithms Based on Tolerance

Yukihiro Hamasuna, Yasunori Endo, 2017, Fuzzy Sets, Rough Sets, Multisets and Clustering.

Non Metric Model Based on Rough Set Representation

Yukihiro Hamasuna, Yasunori Endo, Ayako Heki, 2013, J. Adv. Comput. Intell. Intell. Informatics.

On semi-supervised fuzzy c-means clustering for data with clusterwise tolerance by opposite criteria

Yukihiro Hamasuna, Yasunori Endo, Y. Endo, 2013, Soft Comput..

Clustering Algorithm Based on Probabilistic Dissimilarity

Yukihiro Hamasuna, Yasunori Endo, Makito Yamashiro, 2009, J. Adv. Comput. Intell. Intell. Informatics.

On semi-supervised fuzzy c-means clustering with clusterwise tolerance by opposite criteria

Yukihiro Hamasuna, Yasunori Endo, 2011, 2011 IEEE International Conference on Granular Computing.

Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2011, MDAI.

Agglomerative hierarchical clustering based on local optimization for cluster validity measures

Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

On Sequential Cluster Extraction Based on L1-Regularized Possibilistic c-Means

Yukihiro Hamasuna, Yasunori Endo, 2015, J. Adv. Comput. Intell. Intell. Informatics.

Hierarchical clustering algorithms with automatic estimation of the number of clusters

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

Even-Sized Clustering Based on Optimization and its Variants

Yukihiro Hamasuna, Yasunori Endo, Naohiko Kinoshita, 2018, J. Adv. Comput. Intell. Intell. Informatics.

On Sequential Cluster Extraction Based on L 1-Regularized Possibilistic Non-metric Model

Yukihiro Hamasuna, Yasunori Endo, 2013, MDAI.

Fuzzy c-Means Clustering for Uncertain Data Using Quadratic Penalty-Vector Regularization

Yuchi Kanzawa, Yasushi Hasegawa, Yukihiro Hamasuna, 2011, J. Adv. Comput. Intell. Intell. Informatics.

On Various Types of Even-Sized Clustering Based on Optimization

Yukihiro Hamasuna, Yasunori Endo, Naohiko Kinoshita, 2016, MDAI.

On Fuzzy c-Means for Data with Uncertainty using Spring Modulus

Yasushi Hasegawa, Yukihiro Hamasuna, Yasunori Endo, 2008 .

On a Family of New Sequential Hard Clustering

Yukihiro Hamasuna, Yasunori Endo, Y. Endo, 2015, J. Adv. Comput. Intell. Intell. Informatics.

On Cluster Extraction from Relational Data Using L1-Regularized Possibilistic Assignment Prototype Algorithm

Yukihiro Hamasuna, Yasunori Endo, Y. Endo, 2015, Journal of Advanced Computational Intelligence and Intelligent Informatics.

Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2010, MDAI.

Cluster validity measures for data with tolerance

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2010, International Conference on Fuzzy Systems.

On Tolerant Fuzzy c-Means Clustering with L1-Regularization

Sadaaki Miyamoto, Yukihiro Hamasuna, Yasunori Endo, 2009, IFSA/EUSFLAT Conf..

On Cluster Extraction from Relational Data Using Entropy Based Relational Crisp Possibilistic Clustering

Yukihiro Hamasuna, Yasunori Endo, 2013, KSE.

Network Clustering with Controlled Node Size

Yukihiro Hamasuna, Yasunori Endo, Shusuke Nakano, 2021, MDAI.

Jensen-Shannon Divergence-Based k-Medoids Clustering

Yukihiro Hamasuna, Yuto Kingetsu, 2021, J. Adv. Comput. Intell. Intell. Informatics.

Three Controlled-Sized Clustering Methods for Time-Series Data

Yukihiro Hamasuna, Yasunori Endo, Nobuhiko Tsuda, 2021 .