Resumo

COBOS, Carlos; LEON, Elizabeth  e  MENDOZA, Martha. A harmony search algorithm for clustering with feature selection. Rev.fac.ing.univ. Antioquia [online]. 2010, n.55, pp.153-164. ISSN 0120-6230.

This paper presents a new clustering algorithm, called IHSK, with feature selection in a linear order of complexity. The algorithm is based on the combination of the harmony search and K-means algorithms. Feature selection uses both the concept of variability and a heuristic method that penalizes the presence of dimensions with a low probability of contributing to the current solution. The algorithm was tested with sets of synthetic and real data, obtaining promising results.

Palavras-chave : harmony search; clustering; feature selection.

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