On Possibilistic Clustering Algorithms Based on Noise Clustering

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this study, several possibilistic clustering methods are proposed based on noise clustering. The proposed methods are motivated by the fact that conventional possibilistic clustering methods do not correspond with noise clustering methods in entropy-regularized situations, whereas these methods do correspond in Bezdek-type fuzzified situation.

本文言語English
ホスト出版物のタイトルProceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ42-47
ページ数6
ISBN(電子版)9781467390415
DOI
出版ステータスPublished - 2016 12 28
イベント8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016 - Sapporo, Hokkaido, Japan
継続期間: 2016 8 252016 8 28

Other

Other8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016
国/地域Japan
CitySapporo, Hokkaido
Period16/8/2516/8/28

ASJC Scopus subject areas

  • 制御と最適化
  • 人工知能
  • ソフトウェア
  • 計算数学
  • モデリングとシミュレーション

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