聚类中心的初始化方法
A NEW INITIALIZATION METHOD OF CLUSTER CENTERS
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摘要: 本文对用于聚类中心初始化的势函数的几个参数选择问题进行了讨论,给出了这些参数的两种形式。同时提出了一种新的使用密度函数法进行聚类中心初始化的方法,进行了一组对比实验,得到了令人满意的结果。Abstract: The problems of parameter selections for potential function used to initialize cluster centers are discussed, and two methods are given for determining these parameters. Then a new density function to initialize cluster centers is also given which is computational effective. Finally, a set of compared experiments is presented to show the effectiveness of the proposed methods.
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Bezdek J C. Pattern Recognition with Fuzzy Objective Function Algorithms. New York: Plenum, 1981, 43-93.[2]Bezdek J C, Hathaway R, Sabin M, Tucker W. Convergence theory for fuzzy C-means: Coun-[3]terexample and repairs. IEEE Trans. on SMC., 1987, SMC-17(5): 873-877.[4]Yager R R, Filev D P. Approximate clustering via the mountain method. IEEE Trans. on SMC., 1994, SMC-24(8): 1279-1284.[5]Chiu S L. Fuzzy model identification based on cluster estimation. Journal of Intelligent and Fuzzy Systems, 1994, 2(3): 267-278.[6]Moser C A, Scott W. British Towns. Edinburgh: Oliver and Boyd, 1961.[7]裴继红.基于模糊信息处理的图像分割方法研究:[博士论文].西安电子科技大学,1998.
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