Some recent developments in cluster analysis

被引：25
|
作者：
Jollife, Ian T. [1 ]
Philipp, Andreas [2 ]
机构：
[1] Univ Exeter, Cowes PO31 8EG, Wight, England
[2] Univ Augsburg, D-86135 Augsbwg, Germany
来源：
PHYSICS AND CHEMISTRY OF THE EARTH | 2010年 / 35卷 / 9-12期
关键词：
Agglomerative clustering; Divisive clustering; k-Means; Model-based clustering; Time-constrained clustering; Unsupervised classification; CIRCULATION REGIMES; VARIABILITY; SELECTION;
D O I：
10.1016/j.pce.2009.07.014
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Cluster analysis has been used for many years in weather and climate research but most applications have concentrated on a handful of techniques. However, the subject is vast with many methods scattered across a number of literatures, and research on new variants continues. This paper describes a few of these new developments, concentrating on those that have appeared in the statistical and atmospheric science literatures. Their relevance to applications in weather and climate is discussed. (C) 2009 Elsevier Ltd. All rights reserved.
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页码：309 / 315
页数：7
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