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Generating a Diverse Set of High-Quality Clusterings
Friday July 29th 2011, 3:19 pm
Filed under: Papers

[author]Jeff Phillips, Parasaran Raman and Suresh Venkatasubramanian[/author]
arXiv:1108.0017
In the 2nd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings (held in conjunction with ECML/PKDD 2011)
Best Paper Award.

Abstract:

We provide a new framework for generating multiple good quality partitions (clusterings) of a single data set. Our approach decomposes this problem into two components, generating many high-quality partitions, and then grouping these partitions to obtain k representatives. The decomposition makes the approach extremely modular and allows us to optimize various criteria that control the choice of representative partitions.

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