Comparison of imputation strategies in FNM-based and RFCM-based fuzzy co-clustering

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In this paper, some imputation strategies are compared in the point that the block diagonal part of the augmented dissimilarity matrix must be filled in for FNM-based and RFCM-based fuzzy co-clustering by entropy regularization, By numerical experiment, the eRFCM-based method with the minimax version of the strategy of the triangle inequality-based approximation and with higher fuzzifier parameter setting achieves the higher value of the normalized mutual information than others.

本文言語English
ホスト出版物のタイトル6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
ページ1988-1993
ページ数6
DOI
出版ステータスPublished - 2012 12 1
イベント2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe, Japan
継続期間: 2012 11 202012 11 24

出版物シリーズ

名前6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012

Conference

Conference2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
国/地域Japan
CityKobe
Period12/11/2012/11/24

ASJC Scopus subject areas

  • 人工知能
  • ソフトウェア

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