EM-Based Clustering Algorithm for Uncertain Data. - Naohiko Kinoshita; Yasunori Endo (KSE (2), 2013)

Rough c-Regression Based on Optimization of Objective Function. - Yasunori Endo; Akira Sugawara; Naohiko Kinoshita (MDAI, 2013)

Objective-Based Rough c-Means Clustering. - Yasunori Endo; Naohiko Kinoshita (Int. J. Intell. Syst., 2013)

On linguistic-based clustering. - Akira Sugawara; Naohiko Kinoshita; Yasunori Endo (GrC, 2014)

Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms. - Yasunori Endo; Naohiko Kinoshita; Kuniaki Iwakura; Yukihiro Hamasuna (MDAI, 2014)

A Note on Objective-Based Rough Clustering with Fuzzy-Set Representation. - Ken Onishi; Naohiko Kinoshita; Yasunori Endo (MDAI, 2014)

On even-sized clustering algorithm based on optimization. - Tsubasa Hirano; Yasunori Endo; Naohiko Kinoshita; Yukihiro Hamasuna (SCIS&ISIS, 2014)

On Some Models of Objective-Based Rough Clustering. - Naohiko Kinoshita; Yasunori Endo; Sadaaki Miyamoto (WI-IAT (1), 2014)

Fuzzy non-metric model for data with tolerance and its application to incomplete data clustering. - Yasunori Endo; Tomoyuki Suzuki; Naohiko Kinoshita; Yukihiro Hamasuna; Sadaaki Miyamoto (FUZZ-IEEE, 2015)

On Objective-Based Rough Hard and Fuzzy c-Means Clustering. - Naohiko Kinoshita; Yasunori Endo (J. Adv. Comput. Intell. Intell. Informatics, 2015)

Fuzzy c-Means with Quadratic Penalty-Vector Regularization Using Kullback-Leibler Information for Uncertain Data. - Naohiko Kinoshita; Yasunori Endo; Yukihiro Hamasuna (J. Adv. Comput. Intell. Intell. Informatics, 2015)

On Objective-Based Rough Clustering with Fuzzy-Set Representation. - Naohiko Kinoshita; Yasunori Endo; Ken Onishi (J. Adv. Comput. Intell. Intell. Informatics, 2015)

On Hierarchical Linguistic-Based Clustering. - Naohiko Kinoshita; Yasunori Endo; Akira Sugawara (J. Adv. Comput. Intell. Intell. Informatics, 2015)

On Objective-Based Rough c-Regression. - Akira Sugawara; Yasunori Endo; Naohiko Kinoshita (J. Adv. Comput. Intell. Intell. Informatics, 2015)

On Various Types of Even-Sized Clustering Based on Optimization. - Yasunori Endo; Tsubasa Hirano; Naohiko Kinoshita; Yukihiro Hamasuna (MDAI, 2016)

A Note on Even-Sized Clustering Based on Optimization. - Tsubasa Hirano; Yasunori Endo; Naohiko Kinoshita; Sadaaki Miyamoto (SCIS&ISIS, 2016)

On Fuzzy Non-Metric Model for Data with Tolerance and its Application to Incomplete Data Clustering. - Yasunori Endo; Tomoyuki Suzuki; Naohiko Kinoshita; Yukihiro Hamasuna (J. Adv. Comput. Intell. Intell. Informatics, 2016)

Comparison of Cluster Validity Measures Based x-Means. - Yukihiro Hamasuna; Naohiko Kinoshita; Yasunori Endo (J. Adv. Comput. Intell. Intell. Informatics, 2016)

Various Types of Objective-Based Rough Clustering. - Yasunori Endo; Naohiko Kinoshita (Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017)

On various types of controlled-sized clustering based on optimization. - Yasunori Endo; Sachiko Ishida; Naohiko Kinoshita; Yukihiro Hamasuna (FUZZ-IEEE, 2017)

Controlled-sized clustering based on optimization. - Yasunori Endo; Sachiko Ishida; Naohiko Kinoshita (IFSA-SCIS, 2017)

Even-Sized Clustering Based on Optimization and its Variants. - Yasunori Endo; Yukihiro Hamasuna; Tsubasa Hirano; Naohiko Kinoshita (J. Adv. Comput. Intell. Intell. Informatics, 2018)