Correlations Involved in a Bio-inspired Classification Technique

被引：0
|
作者：
Pintea, Camelia-M. [1 ]
Sabau, Sorin V. [2 ]
机构：
[1] G Cosbuc North Coll, A Iancu 70-72, Cluj Napoca, Romania
[2] Tokai Univ, Sapporo, Hokkaido, Japan
来源：
NATURE INSPIRED COOPERATIVE STRATEGIES FOR OPTIMIZATION (NICSO 2011) | 2011年 / 387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：
An improved unsupervised bio-inspired clustering model is introduced. The main goal is to involve a correlation between properties of objects and some bio-inspired factors. The statistical classification biological model is based on the chemical recognition system of ants. Ants are able to create groups discriminating between nest-mates and intruders based on similar odor. Comparative analysis are performed on real data sets.
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页码：239 / +
页数：3
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