Enrichment Procedures for Soft Clusters: A Statistical Test and its Applications
R.D. Phillips1, M.S. Hossain1, L.T. Watson1,2, R.H. Wynne3, Naren Ramakrishnan1
Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0106, USA.
Department of Mathematics, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0123, USA.
Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Instituteand State University, Blacksburg, VA 24061-0324, USA.
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 predefined categories of interest. While classical enrichment procedures assume a hard clustering definition, this paper introduces a new statistical test that computes enrichments for soft clusters. Application of the new test to several scientific datasets is given.
Phillips, R., Hossain, M., Watson, L., Wynne, R., Ramakrishnan, N. (2014). Enrichment Procedures for Soft Clusters: A Statistical Test and its Applications. CMES-Computer Modeling in Engineering & Sciences, 97(2), 175–197. https://doi.org/10.3970/cmes.2014.097.175
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