On a maximizing model of spherical Bezdek-type possibilistic c-means and fuzzy multi-medoids clustering

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

In this study, two clustering frameworks are proposed based on a maximizing model of spherical Bezdek-type fuzzy clustering are proposed. One using possibilistic c-means, and the other using multi-medoids. In each framework, the basic model and its kernelization are presented, along with an appropriate spectral clustering technique. Kernelization allows the frameworks to capture nonlinear-bordered clusters, while spectral clustering solves their local convergence problems. Numerical examples demonstrate that the proposed frameworks produce good clustering results when an adequate parameter values are selected.

本文言語English
ホスト出版物のタイトルProceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014
編集者Yasuo Kudo, Shusaku Tsumoto
出版社Institute of Electrical and Electronics Engineers Inc.
ページ121-126
ページ数6
ISBN(電子版)9781479954643
DOI
出版ステータスPublished - 2014 12 11
イベント2014 IEEE International Conference on Granular Computing, GrC 2014 - Hokkaido, Japan
継続期間: 2014 10 222014 10 24

出版物シリーズ

名前Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014

Conference

Conference2014 IEEE International Conference on Granular Computing, GrC 2014
国/地域Japan
CityHokkaido
Period14/10/2214/10/24

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • ソフトウェア

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