Evaluation of clusters quality in artificial immune clustering system - SArIS

被引：1

作者：

Wierzchon, Slawomir T. ^{[1
,2
]}

Kuzelewska, Urszula ^{[1
]}

机构：

[1] Bialystok Tech Univ, Dept Comp Sci, Ul Wiejska 45A, PL-15351 Bialystok, Poland

[2] Polish Acad Sci, Inst Comp Sci, PL-01237 Warsaw, Poland

来源：

BIOMETRICS, COMPUTER SECURITY SYSTEMS AND ARTIFICIAL INTELLIGENCE APPLICATIONS | 2006年

关键词：

D O I：

10.1007/978-0-387-36503-9_30

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents evaluation of the clustering results of SMS clustering algorithm based on immune systems theory. The partitionings of 2- and multi-dimensional data are evaluated in comparison to results obtained by other grouping methods - k-means and hierarchical. To assess compactness and separation of groups there were calculated values of clustering validity index-CDbw and its components.

引用

页码：323 / 331

页数：9

共 13 条

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