Unsupervised pattern clustering for data mining

被引：1

作者：

Wilamowska, K ^{[1
]}

Manic, M ^{[1
]}

机构：

[1] Univ Wyoming, Dept Comp Sci, Laramie, WY 82071 USA

来源：

IECON'01: 27TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-3 | 2001年

关键词：

D O I：

10.1109/IECON.2001.975574

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The problem of clustering multidimensional data with similar properties has been targeted in literature. In this paper, authors have concentrated oil the drawback of one of often used methods, mountain clustering. A method that overcomes this problem is proposed. Method is tested oil examples and results are graphically depicted.

引用

页码：1862 / 1867

页数：2

共 6 条

[1] ART 2-A - AN ADAPTIVE RESONANCE ALGORITHM FOR RAPID CATEGORY LEARNING AND RECOGNITION [J].