Abstract:  This article is based on entropy-based fuzzy clustering algorithm (EFC), proposes an improved entropy-based centre clustering algorithm, namely the very obvious differences clusters heart in the original data is obtained through EFC algorithm and these clusters heart to be heart-centered cluster is analyzed again, each point is re-assigned to the collection which the center represents through computing the distance between each point and center. This improved algorithm can not only get compact and significantly different clustering results, but also can effectively improve the accuracy rate. Experimental results show that the improved algorithm can realize data sets efficient clustering, with higher accuracy.

Key words: cluster analysis, EFC algorithm, cluster center