Phillips, Rhonda D.Watson, Layne T.Wynne, Randolph H.Ramakrishnan, Naren2013-06-192013-06-192010-02-01http://hdl.handle.net/10919/19595Clusters, 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.application/pdfenIn CopyrightNumerical analysisTechnical reportTR-10-02http://eprints.cs.vt.edu/archive/00001108/01/TKDE10.pdf