A New Approach in Feature Subset Selection Based on Fuzzy Entropy Concept

被引：1

作者：

Ghaffarian, Hossein ^{[1
]}

Parvin, Hamid ^{[1
]}

Minaei, Behrouz ^{[1
]}

机构：

[1] Iran Univ Sci & Technol, Comp Engn Sch, Tehran, Iran

来源：

2009 14TH INTERNATIONAL COMPUTER CONFERENCE | 2009年

关键词：

D O I：

10.1109/CSICC.2009.5349378

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, we proposed a new feature subset selection approach. In proposed approach first, the entire dataset are classified and the best number of clusters over it are found according to silhouette value. Then according to this value, each feature is alone classified with the same cluster number and accordingly the proposed entropy fuzzy measure is found for them. We examine our method on some traditional datasets. The results show a good performance of proposed method.

引用

页码：60 / 64

页数：5

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