@Article{cmes.2014.097.175,
AUTHOR = {R.D.  Phillips, M.S.  Hossain, L.T.  Watson, R.H.  Wynne,  Naren Ramakrishnan},
TITLE = {Enrichment Procedures for Soft Clusters: A Statistical Test and its Applications},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {97},
YEAR = {2014},
NUMBER = {2},
PAGES = {175--197},
URL = {http://www.techscience.com/CMES/v97n2/27132},
ISSN = {1526-1506},
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 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.},
DOI = {10.3970/cmes.2014.097.175}
}