平成26-28年度科学研究費(26330270)成果発表論文

 

平成29年6月

研究代表者 筑波大学 名誉教授 宮本定明

研究分担者 筑波大学 システム情報系 遠藤靖典

 

Grant-in-Aid for Scientific Research (KAKENHI), JSPS, No.26330270

 

Tatsuya Higuchi and Sadaaki Miyamoto, Fuzzy c-Regression Models Combined with Support Vector Regression, Proc. of 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014) July 6-11, 2014, Beijing, China, pp.2489-2493, 2014.

Zhang Canlun, Sadaaki Miyamoto, Text Clustering Using Fuzzy Neighborhood and Evaluation of Clusters, Proc. of 2014 IEEE International Conference on Granular Computing (GrC2014), Noboribetsu, Hokkaido, Japan, Oct. 22-24, 2014, pp.19-24.

So Miyahara, Sadaaki Miyamoto, A Family of Algorithms Using Spectral Clustering and DBSCAN, Proc. of 2014 IEEE International Conference on Granular Computing (GrC2014), Noboribetsu, Hokkaido, Japan, Oct. 22-24, 2014, pp.196-200.

Yusuke Tamura, Sadaaki Miyamoto, A Method of Two Stage Clustering Using Agglomerative Hierarchical Algorithms with One-Pass k-Means++ or k-Median++, Proc. of 2014 IEEE International Conference on Granular Computing (GrC2014), Noboribetsu, Hokkaido, Japan, Oct. 22-24, 2014, pp.281-285.

Tatsuya Higuchi, Sadaaki Miyamoto, c-Regression Models on Vertices for Graphs, V. Torra et al. eds., Doctoral Consortium Proceedings, the 11th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2014), Tokyo, Japan October 29-31, 2014, pp.1-3.

Yousuke Kaizu, Sadaaki Miyamoto, Asymmetric K-Medoids, V. Torra et al. eds., Doctoral Consortium Proceedings, the 11th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2014), Tokyo, Japan October 29-31, 2014, pp.4-6.

Keisuke Minakawa, So Miyahara, Yusuke Tamura, Sadaaki Miyamoto, Comparing Different Methods on Clustering Follow-Follower Relations on Twitter, V. Torra et al. eds., Doctoral Consortium Proceedings, the 11th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2014), Tokyo, Japan October 29-31, 2014, pp.7-9.

Y. Tamura, S. Miyamoto, Two-Stage Clustering Using One-Pass K-Medoids and Medoid-Based Agglomerative Hierarchical Algorithms, Proceedings of the Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2014), pp. 484-488, Kitakyushu, 2014.

海津洋介、宮本定明、 完全単調性に基づくカーネル関数を用いた 階層的クラスタリングとファジィc-平均法、 第30回ファジィシステムシンポジウム、 2014/9/2, (2014/9/1-3) 高知、pp.458-463.

Zhang Canlun, Sadaaki Miyamoto, Clustering of Words in Texts Using Fuzzy Neighborhood, Proc. of DBKDA 2015 : The Seventh International Conference on Advances in Databases, Knowledge, and Data Applications, May 24-29, 2015, Rome, pp.5-8, 2015. ISBN: 978-1-61208-408-4

Yousuke Kaizu, Sadaaki Miyamoto, Yasunori Endo Hard and Fuzzy c-Medoids for Asymmetric Networks, Proc. of 16th World Congress of the International Fuzzy Systems Association (IFSA 2015), June 30 - July 3, Gijon, Spain, pp.435-440, 2015.

T. Higuchi, S. Miyamoto, Y. Endo, Fuzzy c-regression models for fuzzy numbers on a graph, Proc. of ISME2015, Sept.1-4, 2015, Kitakyushu, Japan, pp.39-46, 2015.

S. Miyamoto, R. Abe, Y. Endo, J. Takeshita, Ward Method of Hierarchical Clustering for Non-Euclidean Similarity Measures, Proc. of SoCPaR 2015, Nov. 13-15, 2015, Kyushu University pp.60-63, 2015.

藤原秀平,宮本定明,遠藤靖典, Core-Pointを利用した有向ネットワークに対する階層的クラスタリング, 31st Fuzzy System Symposium (Chofu, September 2-4, 2015) pp.69-74, 2015.

宮本定明, 階層クラスタリングにおけるWard法の非正定値類似度への可用性, リスク工学紀要,2016年3月, pp.6-9.

Tatsuya Higuchi, Sadaaki Miyamoto, Yasunori Endo, Fuzzy c-Regression Models for Fuzzy Numbers on a Graph, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.20, No.4, 2016.

Sadaaki Miyamoto, Yousuke Kaizu, Yasunori Endo, Hierarchical and Non-hierarchical Medoid Clustering Using Asymmetric Similarity Measures, Proc. of SCIS\&ISIS2016, Aug.25-28, 2016, Sapporo, Japan.

Sadaaki Miyamoto, Yoshiyuki Komazaki, Yasunori Endo, Generalizations of Fuzzy c-Means and Fuzzy Classifiers, Proc. of IUKM 2016, LNAI 9978, 151-162, 2016.