%0 Journal Article
%A LIU Yong-li
%A WAN Xing
%T Fuzzy Tri-Clustering Based on Information Bottleneck
%D 2016
%R 10.13190/j.jbupt.2016.03.012
%J Journal of Beijing University of Posts and Telecommunications
%P 70-74
%V 39
%N 3
%X <p>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.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2016.03.012