A Fuzzy c-Means Algorithm with the Criterion of Optimal Partition Coefficient and Entropy

郑小松; 王绍霖

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A Fuzzy c-Means Algorithm with the Criterion of Optimal Partition Coefficient and Entropy

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- A Fuzzy c-Means Algorithm with the Criterion of Optimal Partition Coefficient and Entropy
- Acta Electronica Sinica Issue 7, (1994)
- 作者机构：
  
  同济大学电气工程系
- 作者简介：
- 基金信息：
- DOI：
  CLC： O235
- Published：1994
- 稿件说明：
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[1]郑小松,王绍霖.基于最优分类系数及分类熵准则的模糊c均值聚类算法[J].电子学报,1994(07):84-88.

郑小松, 王绍霖. A Fuzzy c-Means Algorithm with the Criterion of Optimal Partition Coefficient and Entropy[J]. Acta Electronica Sinica, 1994, (7).
[1]郑小松,王绍霖.基于最优分类系数及分类熵准则的模糊c均值聚类算法[J].电子学报,1994(07):84-88. DOI：

郑小松, 王绍霖. A Fuzzy c-Means Algorithm with the Criterion of Optimal Partition Coefficient and Entropy[J]. Acta Electronica Sinica, 1994, (7). DOI：

摘要

本文分别以模糊分类系数和分类熵为聚类有效性的测度函数，采用模糊Ｃ均值分类法，求最优的测度函数值所代表的全局极值的那种分类。确定为最佳分类方式；并对一张由卫星拍摄的地面ＭＩＧ－２９型飞机照片进行了成功的分类试验。

Abstract

This correspondence states the criterion of cluster validity problem which injects validity measurement functionals into the final judgement i such as fuzzy partition coefficient and entropy.It involves the optimizing of validity functionals through the implementation of FCM algorithm to evaluate optimal clustering.In this way

a unique global minimum can be guaranteed for validity functional over fuzzy c-partition space.A clustering experiment for recognition of an ambiguous photograph of MIG- 29 fighter taken by a spy satellite is successfully developed by computer simulation.

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