Cure: an efficient clustering algorithm for large databases

Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clusters with spherical shapes and similar sizes, or are very fragile in the presence of outliers. We propose a new clustering...

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Bibliographic Details

Published in:	Information systems (Oxford) Vol. 26; no. 1; pp. 35 - 58
Main Authors:	Guha, Sudipto, Rastogi, Rajeev, Shim, Kyuseok
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.03.2001
Subjects:	Clustering Clustering Algorithms Computer applications Data Mining Knowledge Discovery Clustering Algorithms Data Mining Knowledge Discovery
ISSN:	0306-4379, 1873-6076
Online Access:	Get full text
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