Some recent developments in cluster analysis

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 fe...

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Published inPhysics and chemistry of the earth. Parts A/B/C Vol. 35; no. 9; pp. 309 - 315
Main Authors Jolliffe, Ian T., Philipp, Andreas
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2010
Subjects
Agglomerative clustering
Atmospherics
Climate
Climatology
Cluster analysis
Divisive clustering
Earth
k-Means
Model-based clustering
Time-constrained clustering
Unsupervised classification
Weather
Unsupervised classification
Time-constrained clustering
k-Means
Agglomerative clustering
Model-based clustering
Divisive clustering
Online AccessGet full text
ISSN1474-7065
1873-5193
DOI10.1016/j.pce.2009.07.014

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Summary: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.
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ISSN:1474-7065
1873-5193
DOI:10.1016/j.pce.2009.07.014