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• W1528291266 abstract "We present a framework for clustering with cluster-specific feature selection. The framework, CRAFT, is derived from asymptotic log posterior formulations of nonparametric MAP-based clustering models. CRAFT handles assorted data, i.e., both numeric and categorical data, and the underlying objective functions are intuitively appealing. The resulting algorithm is simple to implement and scales nicely, requires minimal parameter tuning, obviates the need to specify the number of clusters a priori, and compares favorably with other methods on real datasets." @default.
• W1528291266 created "2016-06-24" @default.
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• W1528291266 date "2015-06-25" @default.
• W1528291266 modified "2023-09-27" @default.
• W1528291266 title "CRAFT: ClusteR-specific Assorted Feature selecTion" @default.
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• W1528291266 hasPublicationYear "2015" @default.
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