• A rough set based algorithm for updating the modes in categorical clustering

    10 days ago - By Springer

    Abstract
    The categorical clustering problem has attracted much attention especially in the last decades since many real world applications produce categorical data. The k -mode algorithm, proposed since 1998, and its multiple variants were widely used in this context. However, they suffer from a great limitation related to the update of the modes in each iteration. The mode in the last step of these algorithms is randomly selected although it is possible to identify many candidate ones. In this paper, a rough density mode selection method is proposed to identify the adequate modes among a...
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