makoto yasuda

ヤスダマコト | makoto yasuda

Affiliation and department：
Homepage URL (1)： http://www.gifu-nct.ac.jp/elec/yasuda/index.html

Research field (3)： Statistical science , Soft computing , Intelligent informatics

Research keywords (7)：時系列データ予測 , 統計的因果推論 , 確率的情報処理 , データマイニング , マルチエージェント , 進化的計算手法 , 情報統計力学

Research theme for competitive and other funds (3)：

2013 - 2016 Development of integrated algorithm of fuzzy clustering with entropy maximization and annealing
2007 - 2009 Entropy based statistical mechanical fuzzy clustering method and its visualization
情報統計力学とソフトコンピューティングのファジィクラスタリングへの応用

Papers (57)：

Kazuhiro Tamada, Makoto Yasuda. Determination of number of clusters for fuzzy c-means maximized with Tsallis entropy. Advances in Intelligent Systems and Computing, Springer. 2021. 1348. 446-456
yasuda makoto. Determination of multiple q values for Tsallis-entropy-maximized-FCM. Advances in Intelligent Systems and Computing, Springer. 2020. 1074. 771-780
okachi ryosuke, yasuda makoto. Determination of multiple q parameters for fuzzy c-means method maximized with Tsallis entropy. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 2019. 31. 6. 927-931
yasuda makoto. Analysis of temperature and q-parameter dependencies of FCM with Tsallis entropy maximization. Journal of Advanced Computational Intelligence and Intelligent Informatics. 2018. 22. 5. 666-673
yasuda makoto. On utilization of Canopy clustering method for determination of q-parameter for Tsallis-DAFCM. Proc. of the 2018 Int. Conf. on Natural Computation, Fuzzy Systems and Knowledge Discovery. 2018

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MISC (25)：

安田真. 推薦・学力で入学した学生の入学後の成績の推移の分析. 高専機構教学マネジメント第3ブロック事例報告会. 2023
安田真. 入試・本科成績の相関分析及び入試制度変更に伴う本科成績の変化予測. 高専機構教学マネジメント第3ブロック報告会. 2022
Y. Yasuda, M. Yasuda. Estimation of multiple ???? values for FCM maximized with Tsallis entropy. 2019. B2. 1-5
K. Tamada, M. Yasuda. Estimation of number of clusters for FCM maximized with Tsallis entropy. 2019. B2. 6-9
岡地涼輔, 安田真. 複数 q 値を持つ Tsallisエントロピー最大化 FCM 法における各 q 値の推定. 第34回ファジィシステムシンポジウム講演論文集. 2018. 879-882

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Lectures and oral presentations (20)：

Determination of number of clusters for fuzzy c-means maximized with Tsallis entropy
(The 2020 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery 2020)
Determination of multiple q values for Tsallis-entropy-maximized-FCM
(The 2019 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery 2019)
On utilization of Canopy clustering method for determination of q-parameter for Tsallis-entropy-maximized-FCM
(Proc. of the 2018 Int. Conf. on Natural Computation, Fuzzy Systems and Knowledge Discovery 2018)
On utilization of k-means for determination of q-parameter for Tsallis-entropy-maximized-FCM
(2017 Int. Conf. on Natural Computation, Fuzzy Systems and Knowledge Discovery 2017)
Approximate determination of q-parameter for FCM with Tsallis entropy maximization
(Joint 8th Int. Conf. on Soft Computing and 17th Int. Symp. on Advanced Intelligent Systems 2016)

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Professional career (1)：

Association Membership(s) (4)：

THE PHYSICAL SOCIETY OF JAPAN , THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE , INFORMATION PROCESSING SOCIETY OF JAPAN , 日本知能情報ファジィ学会

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