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Title:
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Co-Clustering with Generative Models |
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Author:
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Golland, Polina; Lashkari, Danial |
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Other Contributors:
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Vision |
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Advisor:
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Polina Golland |
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Issue Date:
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2009-11-03 |
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Abstract:
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In this paper, we present a generative model for co-clustering and develop algorithms based on the mean field approximation for the corresponding modeling problem. These algorithms can be viewed as generalizations of the traditional model-based clustering; they extend hard co-clustering algorithms such as Bregman co-clustering to include soft assignments. We show empirically that these model-based algorithms offer better performance than their hard-assignment counterparts, especially with increasing problem complexity. |
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URI:
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http://hdl.handle.net/1721.1/49526
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Series/Report no.:
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MIT-CSAIL-TR-2009-054 |
