Feature Selection Using Non Linear Feature Relation Index

被引：0
|
作者：
Jain, Namita [1 ]
Murthy, C. A. [1 ]
机构：
[1] Indian Stat Inst, Machine Intelligence Unit, Kolkata, India
来源：
PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PROCEEDINGS | 2009年 / 5909卷
关键词：
D O I：
暂无
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 we propose a dependence measure for a pair of features. This measure aims at identifying redundant features where the relationship between the features is characterised by higher degree polynomials. An algorithm is also proposed to make effective use of this dependence measure for the feature selection. Neither the calculation of dependence measure, nor the algorithm need the class values of the observations. So they can be used for clustering as well as classification.
引用
收藏
页码：7 / 12
页数：6
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