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A harmony search algorithm for clustering with feature selection

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 th...

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發表在:Revista Facultad de Ingeniería Universidad de Antioquia
Main Authors: Carlos Cobos, Elizabeth León, Martha Mendoza
格式: Artigo
出版: Universidad de Antioquia 2010
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在線閱讀:https://www.redalyc.org/articulo.oa?id=43019328016
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