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• W1497392877 abstract "Clusters, typically mined by modeling locality of attribute spaces, are often evaluated for their ability to demonstrate ‘enrichment’ of categorical features. A cluster enrichment procedure evaluates the membership of a cluster for significant representation in pre-defined categories of interest. While classical enrichment procedures assume a hard clustering definition, in this paper we introduce a new statistical test that computes enrichments for soft clusters. We demonstrate an application of this test in refining and evaluating soft clusters for classification of remotely sensed images." @default.
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• W1497392877 date "2014-03-17" @default.
• W1497392877 modified "2023-09-25" @default.
• W1497392877 title "Enrichment procedures for soft clusters: A statistical test and its applications" @default.
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• W1497392877 doi "https://doi.org/10.3970/cmes.2014.097.175" @default.
• W1497392877 hasPublicationYear "2014" @default.
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