Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2016, Vol. 39 ›› Issue (3): 70-74.doi: 10.13190/j.jbupt.2016.03.012

• Papers • Previous Articles     Next Articles

Fuzzy Tri-Clustering Based on Information Bottleneck

LIU Yong-li, WAN Xing   

  1. School of Computer Science and Technology, Henan Polytechnic University, Henan Jiaozuo 454000, China
  • Received:2015-09-21 Online:2016-06-28 Published:2016-06-27

Abstract:

In order to group three-dimensional data, the thought of fuzzy co-clustering was adopted, and an information bottleneck based fuzzy tri-clustering algorithm, named IBFTC, was presented. The IBFTC specifies membership function for each dimension, simultaneously generates fuzzy clusters on three dimensions and adds information bottleneck theory into objective function for measuring distances between objects and clusters. Experiments on the MovieLens dataset evaluate the performances of IBFTC from several aspects. Experiment shows that IBFTC could achieve higher accuracy than conventional fuzzy co-clustering algorithms.

Key words: fuzzy clustering, co-clustering, tri-clustering, information bottleneck

CLC Number: