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• W2057305562 abstract "We propose a new formulation of the conceptual clustering problem where the goal is to explicitly output a collection of simple and meaningful conjunctions of attributes that define the clusters. The formulation differs from previous approaches since the clusters discovered may overlap and also may not cover all the points. In addition, a point may be assigned to a cluster description even if it only satisfies most, and not necessarily all, of the attributes in the conjunction. Connections between this conceptual clustering problem and the maximum edge biclique problem are made. Simple, randomized algorithms are given that discover a collection of approximate conjunctive cluster descriptions in sublinear time." @default.
• W2057305562 created "2016-06-24" @default.
• W2057305562 creator A5018532292 @default.
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• W2057305562 date "2004-07-01" @default.
• W2057305562 modified "2023-10-09" @default.
• W2057305562 title "A New Conceptual Clustering Framework" @default.
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• W2057305562 doi "https://doi.org/10.1023/b:mach.0000033117.77257.41" @default.
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