Choosing the number of clusters

被引：56
|
作者：
Mirkin, Boris [1 ,2 ]
机构：
[1] Birkbeck Univ London, Dept Comp Sci & Informat Syst, London, England
[2] Higher Sch Econ, Dept Data Anal & Machine Intelligence, Moscow, Russia
来源：
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY | 2011年 / 1卷 / 03期
关键词：
MIXTURE MODEL; DISCOVERY; CRITERION;
D O I：
10.1002/widm.15
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The issue of determining 'the right number of clusters' is attracting ever growing interest. The paper reviews published work on the issue with respect to mixture of distributions, partition, especially in k-means clustering, and hierarchical cluster structures. Some perspective directions for further developments are outlined. (C) 2011 John Wiley & Sons, Inc. WIREs Data Mining Knowl Discov 2011 1 252- 260 DOI: 10.1002/widm.15
引用
收藏
页码：252 / 260
页数：9
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