Feature selection method based on parallel immune cloning algorithm

被引：0

作者：

Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu 610041, China ^{[1
]}

机构：

来源：

Shanghai Jiaotong Daxue Xuebao | 2009年 / 12卷 / 1847-1851期

关键词：

Cloning;

D O I：

暂无

中图分类号：

Q78 [基因工程（遗传工程）]; Q812 [];

学科分类号：

071007 ; 0836 ; 090102 ;

摘要：

Considering serial feature selection method is inefficient timely to be applied to Chinese massive text data sets, a feature selection method based on parallel immune cloning algorithm was presented. The method uses the immune cloning algorithm to select feature subset and calculates fitness of feature subsets in multiple computing nodes at the same time, so can acquire quickly the feature subsets which are more representative. The experimental results show that the method is effective.

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