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

研究成果: Conference contribution

3 引用 (Scopus)

抜粋

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.

元の言語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
出版者Institute of Electrical and Electronics Engineers Inc.
ページ121-126
ページ数6
ISBN(電子版)9781479954643
DOI
出版物ステータス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
Japan
Hokkaido
期間14/10/2214/10/24

    フィンガープリント

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

これを引用

Kanzawa, Y. (2014). On a maximizing model of spherical Bezdek-type possibilistic c-means and fuzzy multi-medoids clustering. : Y. Kudo, & S. Tsumoto (版), Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014 (pp. 121-126). [6982819] (Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GRC.2014.6982819