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Data Clustering: A Review (1999) [613 citations — 9 self]

by A K Jain ,  M N Murty ,  P. J. Flynn
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Abstract:

This paper presents an overview of pattern clustering methods from a statistical pattern recognition perspective, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners. We present a taxonomy of clustering techniques, and identify cross-cutting themes and recent advances. We also describe some important applications of clustering algorithms such as image segmentation, object recognition, and information retrieval

Citations

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