Feature description systems for clusters by using logical rule generations based on the genetic programming and its applications to data mining

被引：0
|
作者：
Lu, Jianjun [1 ,2 ]
Liu, Yunling [1 ]
Tokinaga, Shozo [2 ]
机构：
[1] Chinese Agr Univ, Beijing 100083, Peoples R China
[2] Kyushu Univ, Grad Sch Econom, Fukuoka 812, Japan
来源：
COMPUTATIONAL SCIENCE - ICCS 2007, PT 4, PROCEEDINGS | 2007年 / 4490卷
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D O I：
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中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper deals with the realization of retrieval and feature description systems for clusters by using logical rule generations based on the Genetic Programming (GP). At first, whole data is divided into several clusters and the rules are improved based the GP. The fitness of individuals is defined in proportion to the hits of corresponding logical expression to the samples in targeted cluster c, but also in inversely proportion to the hits outside the cluster c. The GP method is applied to various real world data by showing effective performance compared to conventional methods.
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页码：162 / +
页数：2
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