Naohiko Kinoshita

According to our database, Naohiko Kinoshita authored at least 22 papers between 2013 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2018

Even-Sized Clustering Based on Optimization and its Variants.

Yasunori Endo, Yukihiro Hamasuna, Tsubasa Hirano, Naohiko Kinoshita

J. Adv. Comput. Intell. Intell. Informatics, 2018

2017

Controlled-sized clustering based on optimization.

Yasunori Endo, Sachiko Ishida, Naohiko Kinoshita

Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

On various types of controlled-sized clustering based on optimization.

Yasunori Endo, Sachiko Ishida, Naohiko Kinoshita, Yukihiro Hamasuna

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Various Types of Objective-Based Rough Clustering.

Yasunori Endo, Naohiko Kinoshita

Proceedings of the Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017

2016

Comparison of Cluster Validity Measures Based <i>x</i>-Means.

Yukihiro Hamasuna, Naohiko Kinoshita, Yasunori Endo

J. Adv. Comput. Intell. Intell. Informatics, 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

A Note on Even-Sized Clustering Based on Optimization.

Tsubasa Hirano, Yasunori Endo, Naohiko Kinoshita, Sadaaki Miyamoto

Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

On Various Types of Even-Sized Clustering Based on Optimization.

Yasunori Endo, Tsubasa Hirano, Naohiko Kinoshita, Yukihiro Hamasuna

Proceedings of the Modeling Decisions for Artificial Intelligence, 2016

2015

On Objective-Based Rough c-Regression.

Akira Sugawara, Yasunori Endo, Naohiko Kinoshita

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 Clustering with Fuzzy-Set Representation.

Naohiko Kinoshita, Yasunori Endo, Ken Onishi

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 Hard and Fuzzy c-Means Clustering.

Naohiko Kinoshita, Yasunori Endo

J. Adv. Comput. Intell. Intell. Informatics, 2015

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

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014

On Some Models of Objective-Based Rough Clustering.

Naohiko Kinoshita, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

On even-sized clustering algorithm based on optimization.

Tsubasa Hirano, Yasunori Endo, Naohiko Kinoshita, Yukihiro Hamasuna

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

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

Ken Onishi, Naohiko Kinoshita, Yasunori Endo

Proceedings of the Modeling Decisions for Artificial Intelligence, 2014

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

Yasunori Endo, Naohiko Kinoshita, Kuniaki Iwakura, Yukihiro Hamasuna

Proceedings of the Modeling Decisions for Artificial Intelligence, 2014

On linguistic-based clustering.

Akira Sugawara, Naohiko Kinoshita, Yasunori Endo

Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

2013

Objective-Based Rough c-Means Clustering.

Yasunori Endo, Naohiko Kinoshita

Int. J. Intell. Syst., 2013

Rough c-Regression Based on Optimization of Objective Function.

Yasunori Endo, Akira Sugawara, Naohiko Kinoshita

Proceedings of the Modeling Decisions for Artificial Intelligence, 2013

EM-Based Clustering Algorithm for Uncertain Data.

Naohiko Kinoshita, Yasunori Endo

Proceedings of the Knowledge and Systems Engineering, 2013