| 基于模糊熵的聚类有效性分析 |
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| 引用本文： | 陈业华,黄元美,高峰. 基于模糊熵的聚类有效性分析[J]. 燕山大学学报, 2007, 31(1): 44-46 |
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| 作者姓名： | 陈业华 黄元美 高峰 |
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| 作者单位： | 1. 燕山大学,经济管理学院,河北,秦皇岛,066004
2. 燕山大学,建筑工程与力学学院,河北,秦皇岛,066004 |
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| 摘 要： | 模糊熵描述了一个模糊集的模糊性程度.本文将模糊熵应用于聚类有效性的分析.指出用于聚类有效性判决的划分系数是一个基于模糊熵的聚类有效性判决准则.最后通过几组数据对不同模糊熵公式的判决功能进行了比较实验.
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| 关 键 词： | 模糊熵 聚类有效性 模糊c-均值聚类 |
| 文章编号： | 1007-791X(2007)01-0044-03 |
| 修稿时间： | 2006-04-15 |
Clustering validity function based on fuzzy entropy |
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| CHEN Ye-hua,HUANG Yuan-mei,GAO Feng. Clustering validity function based on fuzzy entropy[J]. Journal of Yanshan University, 2007, 31(1): 44-46 |
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| Authors: | CHEN Ye-hua HUANG Yuan-mei GAO Feng |
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| Abstract: | Fuzzy entropy describes the degree of fuzziness of a fuzzy set. In this paper, fuzzy entropy is applied to clustering validity problem. Fuzzy clustering is obtained through a fuzzy partition on the data set and the minimum of the sum of each partition subsets fuzzy entropy is regared as the clustering validity function. It is pointed out that partition coefficient, a commonly used clustering validity function, it is equal to a function based on fuzzy entropy. The performances of different fuzzy entropy formulas are compared on several data sets. |
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| Keywords: | fuzzy entropy clustering validity fuzzy c-means |
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