An Automatic Fuzzy Clustering Algorithm for Discrete Elements

作     者：Tai Vovan Yen Nguyenhoang Sang Danh Tai Vovan;Yen Nguyenhoang;Sang Danh

作者机构：College of Natural ScienceCan Tho UniversityCan Tho cityVietnam Nguyen Trung Truc CollegeRach Gia cityVietnam 

出 版 物：《Journal of the Operations Research Society of China》 (中国运筹学会会刊（英文）)

年 卷 期：2023年第11卷第2期

页      面：309-325页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Cluster analysis Distance Image Similar index 

摘      要：This research proposes a measure called cluster similar index(CSI)to evaluate the similarity of cluster for discrete elements.The CSI is used as a criterion to build the automatic fuzzy clustering algorithm.This algorithm can determine the suitable number of clusters,find the elements in each cluster,give the probability to belong to the clusters of each element,and evaluate the quality of the established clusters at the same time.The proposed algorithm can perform quickly and effectively by the established MATLAB procedure.Several numerical examples illustrate the proposed algorithm and show the advantages in comparing with the existing ones.Finally,applying the proposed algorithm in the image recognition shows potentiality in the reality of this research.