A fuzzy compactness and separation co-clustering algorithm
LIU Yongli
DUAN Tianyi
YANG Lishen
Abstract：In order to implement clustering on feature dimension as well as data object dimension and improve clustering accuracy,a fuzzy compactness and separation co-clustering algorithm(FCSCC)is proposed based on the fuzzy compactness and separation algorithm (FCS).In FCSCC,feature membership and entropy maximization is added into FCS.It can simultaneously group data objects and features.In order to evaluate clustering effectiveness,experiments were carried out on five datasets to compare the FCSCC with other three clustering algorithms.The experimental results show that the FCSCC algorithm is better than these three methods in terms of accuracy.
Keywords：co-clustering algorithoncompactnessseparation
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 85-88,94 )