Yukihiro Hamasuna

According to our database, Yukihiro Hamasuna authored at least 75 papers between 2007 and 2024.

Collaborative distances:

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

2024

Sequential Cluster Extraction by Noise Clustering Based on Local Outlier Factor.

Yukihiro Hamasuna, Yoshitomo Mori

Proceedings of the Modeling Decisions for Artificial Intelligence, 2024

Gaussian Process Based Sequential Regression Models.

Kaito Takegawa, Yuya Yokoyama, Yukihiro Hamasuna

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

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

Yasunori Endo, Kanata Hoshino, Yukihiro Hamasuna

J. Ambient Intell. Humaniz. Comput., 2023

A Novel Noise Clustering Based on Local Outlier Factor.

Yukihiro Hamasuna, Yoshitomo Mori

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023

2022

The relationship between Gaussian process based c-regression models and kernel c-regression models.

Yukihiro Hamasuna, Yuya Yokoyama, Kaito Takegawa

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

2021

Jensen-Shannon Divergence-Based <i>k</i>-Medoids Clustering.

Yuto Kingetsu, Yukihiro Hamasuna

J. Adv. Comput. Intell. Intell. Informatics, 2021

Network Clustering with Controlled Node Size.

Yukihiro Hamasuna, Shusuke Nakano, Yasunori Endo

Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

2020

Controlled-Sized Clustering for Time-Series Data.

Nobuhiko Tsuda, Yukihiro Hamasuna

Proceedings of the Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, 2020

2019

Cluster Validity Measures Based Agglomerative Hierarchical Clustering for Network Data.

Yukihiro Hamasuna, Shusuke Nakano, Ryo Ozaki, Yasunori Endo

J. Adv. Comput. Intell. Intell. Informatics, 2019

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

Yukihiro Hamasuna, Yuto Kingetsu, Shusuke Nakano

Proceedings of the Modeling Decisions for Artificial Intelligence, 2019

2018

Fuzzified Even-Sized Clustering Based on Optimization.

Kei Kitajima, Yasunori Endo, Yukihiro Hamasuna

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

Two-Stage Clustering Based on Cluster Validity Measures.

Yukihiro Hamasuna, Ryo Ozaki, Yasunori Endo

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

Cluster Validity Measures for Network Data.

Yukihiro Hamasuna, Daiki Kobayashi, Ryo Ozaki, Yasunori Endo

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

A Study on Controlled Node Sized Network Clustering for Unweighted Network Data.

Shusuke Nakano, Yukihiro Hamasuna, Yasunori Endo

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

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

Daiki Kobayashi, Yukihiro Hamasuna

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

2017

Agglomerative hierarchical clustering based on local optimization for cluster validity measures.

Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

A study on cluster validity measures for clustering network data.

Yukihiro Hamasuna, Ryo Ozaki, Yasunori Endo

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

Hierarchical clustering algorithms with automatic estimation of the number of clusters.

Ryosuke Abe, Sadaaki Miyamoto, Yasunori Endo, Yukihiro Hamasuna

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

On Some Clustering Algorithms Based on Tolerance.

Yukihiro Hamasuna, Yasunori Endo

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

Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo

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 Kernelized Sequential Hard Clustering.

Yukihiro Hamasuna, Yasunori Endo

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

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 a Family of New Sequential Hard Clustering.

Yukihiro Hamasuna, Yasunori Endo

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

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

Yukihiro Hamasuna, Yasunori Endo

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

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

Yukihiro Hamasuna, 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 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

On new sequential hard c-medoids.

Yukihiro Hamasuna, Yasunori Endo

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

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

Yukihiro Hamasuna, 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 new sequential hard c-means and its kernelization.

Yukihiro Hamasuna, Yasunori Endo

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

2013

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

Yukihiro Hamasuna, Yasunori Endo

Soft Comput., 2013

Non Metric Model Based on Rough Set Representation.

Yasunori Endo, Ayako Heki, Yukihiro Hamasuna

J. Adv. Comput. Intell. Intell. Informatics, 2013

Sequential Extraction by Using Two Types of Crisp Possibilistic Clustering.

Yukihiro Hamasuna, Yasunori Endo

Proceedings of the IEEE International Conference on Systems, 2013

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

Yukihiro Hamasuna, Yasunori Endo

Proceedings of the Modeling Decisions for Artificial Intelligence, 2013

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

Yukihiro Hamasuna, Yasunori Endo

Proceedings of the Knowledge and Systems Engineering, 2013

2012

On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

J. Adv. Comput. Intell. Intell. Informatics, 2012

Comparison of Semi-Supervised Hierarchical Clustering Using Clusterwise Tolerance.

Yukihiro Hamasuna, Yasunori Endo

J. Adv. Comput. Intell. Intell. Informatics, 2012

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

Yasunori Endo, Arisa Taniguchi, Yukihiro Hamasuna

J. Adv. Comput. Intell. Intell. Informatics, 2012

On sparse possibilistic clustering with crispness - Classification function and sequential extraction.

Yukihiro Hamasuna, Yasunori Endo

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

On Rough Set Based Non Metric Model.

Yasunori Endo, Ayako Heki, Yukihiro Hamasuna

Proceedings of the Modeling Decisions for Artificial Intelligence, 2012

2011

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

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

J. Adv. Comput. Intell. Intell. Informatics, 2011

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

Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, Yuchi Kanzawa

J. Adv. Comput. Intell. Intell. Informatics, 2011

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

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Modeling Decision for Artificial Intelligence, 2011

On Hard <i>c</i>-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data.

Yasunori Endo, Arisa Taniguchi, Aoi Takahashi, Yukihiro Hamasuna

Proceedings of the Modeling Decision for Artificial Intelligence, 2011

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

Yasunori Endo, Yukihiro Hamasuna

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2011

Hard and fuzzy c-means clustering with mutual relation constraints.

Yasunori Endo, Yukihiro Hamasuna

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

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

Yukihiro Hamasuna, Yasunori Endo

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

On principal component analysis for data with tolerance.

Yasunori Endo, Tatsuyoshi Tsuji, Yukihiro Hamasuna, Kouta Kurihara

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

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

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2011, 2011

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

Yasunori Endo, Isao Takayama, Yukihiro Hamasuna, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2011, 2011

2010

On tolerant fuzzy <i>c</i>-means clustering and tolerant possibilistic clustering.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Soft Comput., 2010

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

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2010

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

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Cluster validity measures for data with tolerance.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2010, 2010

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

Yasunori Endo, Kouta Kurihara, Sadaaki Miyamoto, Yukihiro Hamasuna

Proceedings of the FUZZ-IEEE 2010, 2010

2009

Clustering Algorithm Based on Probabilistic Dissimilarity.

Makito Yamashiro, Yasunori Endo, Yukihiro Hamasuna

J. Adv. Comput. Intell. Intell. Informatics, 2009

On Tolerant Fuzzy c -Means Clustering.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

J. Adv. Comput. Intell. Intell. Informatics, 2009

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

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

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

Yasunori Endo, Yukihiro Hamasuna, Yuchi Kanzawa, Sadaaki Miyamoto

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

On L1-Norm based tolerant fuzzy c-Means clustering.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2009, 2009

On semi-supervised fuzzy c-means clustering.

Yasunori Endo, Yukihiro Hamasuna, Makito Yamashiro, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2009, 2009

On Tolerant Fuzzy c-Means Clustering with L1-Regularization.

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008

Fuzzy c-Means for Data with Rectangular Maximum Tolerance Range.

Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, Sadaaki Miyamoto

J. Adv. Comput. Intell. Intell. Informatics, 2008

On Tolerant Entropy Regularized Fuzzy C-means.

Yukihiro Hamasuna, Yasunori Endo, Makito Yamashiro

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

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

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2008, 2008

2007

Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge Utilization.

Sadaaki Miyamoto, Yasunori Endo, Koki Hanzawa, Yukihiro Hamasuna

J. Adv. Comput. Intell. Intell. Informatics, 2007

Fuzzy <i>c</i> -Means for Data with Tolerance Defined as Hyper-Rectangle.

Yasushi Hasegawa, Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2007

Agglomerative Hierarchical Clustering for Data with Tolerance.

Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto

Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

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

Yukihiro Hamasuna, Yasunori Endo, Yasushi Hasegawa, Sadaaki Miyamoto

Proceedings of the FUZZ-IEEE 2007, 2007