Naohiko Kinoshita

发表

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.

On Hierarchical Linguistic-Based Clustering

Akira Sugawara, Yasunori Endo, Naohiko Kinoshita, 2015, J. Adv. Comput. Intell. Intell. Informatics.

On Some Models of Objective-Based Rough Clustering

Sadaaki Miyamoto, Yasunori Endo, Naohiko Kinoshita, 2014, 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

Objective‐Based Rough c‐Means Clustering

Yasunori Endo, Naohiko Kinoshita, 2013, Int. J. Intell. Syst..

Various Types of Objective-Based Rough Clustering

Yasunori Endo, Naohiko Kinoshita, 2017, Fuzzy Sets, Rough Sets, Multisets and Clustering.

On Objective-Based Rough Clustering with Fuzzy-Set Representation

Yasunori Endo, Naohiko Kinoshita, Ken Onishi, 2015, J. Adv. Comput. Intell. Intell. Informatics.

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

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

On Objective-Based Rough Hard and Fuzzy c-Means Clustering

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

EM-Based Clustering Algorithm for Uncertain Data

Yasunori Endo, Naohiko Kinoshita, 2013, KSE.

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).

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).

On objective-based rough c-means clustering

Yasunori Endo, Naohiko Kinoshita, 2012, 2012 IEEE International Conference on Granular Computing.

Controlled-sized clustering based on optimization

Sachiko Ishida, Yasunori Endo, Naohiko Kinoshita, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

A Note on Even-Sized Clustering Based on Optimization

Sadaaki Miyamoto, Yasunori Endo, Naohiko Kinoshita, 2016, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS).

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.

Comparison of Cluster Validity Measures Based x-Means

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

On Objective-Based Rough c-Regression

Akira Sugawara, Yasunori Endo, Naohiko Kinoshita, 2015, J. Adv. Comput. Intell. Intell. Informatics.

Rough c-Regression Based on Optimization of Objective Function

Akira Sugawara, Yasunori Endo, Naohiko Kinoshita, 2013, 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).

A Note on Objective-Based Rough Clustering with Fuzzy-Set Representation

Yasunori Endo, Naohiko Kinoshita, Ken Onishi, 2014, MDAI.

On linguistic-based clustering

Akira Sugawara, Yasunori Endo, Naohiko Kinoshita, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

Even-Sized Clustering Based on Optimization and its Variants

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

On Various Types of Even-Sized Clustering Based on Optimization

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