Information-theoretic feature selection with discrete $$k$$k-median clustering
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DOI: 10.1007/s10479-014-1589-3
Abstract: We propose a novel computational framework that integrates information-theoretic feature selection with discrete $$k$$k-median clustering (DKM). DKM is a domain-independent clustering algorithm which requires a pairwise distance matrix between samples that can be defined arbitrarily… read more here.
Keywords: information; theoretic feature; feature selection; feature ... See more keywords