Clustering algorithms and validity measures

Clustering aims at discovering groups and identifying interesting distributions and patterns in data sets. Researchers have extensively studied clustering since it arises in many application domains in engineering and social sciences. In the last years the availability of huge transactional and expe...

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Bibliographic Details

Published in:	Proceedings Thirteenth International Conference on Scientific and Statistical Database Management. SSDBM 2001 pp. 3 - 22
Main Authors:	Halkidi, M., Batistakis, Y., Vazirgiannis, M.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 2001
Subjects:	Biomedical engineering Clustering algorithms Clustering methods Data mining Engineering in medicine and biology Informatics Partitioning algorithms Pattern recognition Unsupervised learning
ISBN:	9780769512181, 0769512186
ISSN:	1099-3371
Online Access:	Get full text
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