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Published in:
2002 | OriginalPaper | Chapter
On Data Clustering Analysis: Scalability, Constraints, and Validation
Authors : Osmar R. Zaïane, Andrew Foss, Chi-Hoon Lee, Weinan Wang
Published in: Advances in Knowledge Discovery and Data Mining
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
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Clustering is the problem of grouping data based on similarity. While this problem has attracted the attention of many researchers for many years, we are witnessing a resurgence of interest in new clustering techniques. In this paper we discuss some very recent clustering approaches and recount our experience with some of these algorithms. We also present the problem of clustering in the presence of constraints and discuss the issue of clustering validation.