A new cluster validity index for the fuzzy c-mean

被引：299

作者：

Rezaee, MR ^{[1
]}

Lelieveldt, BPF ^{[1
]}

Reiber, JHC ^{[1
]}

机构：

[1] Leiden Univ, Med Ctr, Dept Radiol, Div Image Proc, NL-2300 RC Leiden, Netherlands

来源：

PATTERN RECOGNITION LETTERS | 1998年 / 19卷 / 3-4期

基金：

俄罗斯科学基金会;

关键词：

cluster validity functional; fuzzy clustering; fuzzy c-mean;

D O I：

10.1016/S0167-8655(97)00168-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a new cluster validity index is introduced, which assesses the average compactness and separation of fuzzy partitions generated by the fuzzy c-means algorithm. To compare the performance of this new index with a number of known validation indices, the fuzzy partitioning of two data sets was carried aut. Our validation performed favorably in all studies, even in those where other validity indices failed to indicate the true number of clusters within each data set. (C) 1998 Elsevier Science B.V. All rights reserved.

引用

页码：237 / 246

页数：10

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