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Article
A rough set based algorithm for updating the modes in categorical clustering
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 multi...
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Chapter and Conference Paper
Rough Mode: A Generalized Centroid Proposal for Clustering Categorical Data Using the Rough Set Theory
Clustering is a widely used Data Mining method that aims to partition a given dataset into homogenous groups according to some predefined similarity criterion. The k-modes is a well known categorical clustering m...
