An improved differential evolution and its application to determining feature weights in similarity-based clustering
In this work, we propose an optimization model to tune feature weights for improving performance of clustering via a minimization of uncertainty (fuzziness and non-specificity) of its similarity matrix among objects. To solve the proposed model efficiently, we propose an evolutionary search approach...
|Published in:||Neurocomputing : an international journal, Vol. 146 (2014), p. 95-103|
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