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A modified K-Modes clustering algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2013) 8251 LNCS 60-66
DOI: 10.1007/978-3-642-45062-4_7
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Abstract

The main aim of this paper is to apply a new dissimilarity measure, and handle boundary data properly in K-Modes clustering thereby increasing the clustering efficiency. Moreover our proposed algorithm identifies the outlier data efficiently. © Springer-Verlag 2013.

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Bishnu, P. S., & Bhattacherjee, V. (2013). A modified K-Modes clustering algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8251 LNCS, pp. 60–66). https://doi.org/10.1007/978-3-642-45062-4_7

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