Multivalued type dissimilarity measure and concept of mutual dissimilarity value for clustering symbolic patterns

Guru, D. S. and Kiranagi, B. B. (2005) Multivalued type dissimilarity measure and concept of mutual dissimilarity value for clustering symbolic patterns. Pattern Recognition, 38 (1). 151 - 156. ISSN 0031-3203

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Abstract

A successful attempt in exploring a dissimilarity measure which captures the reality is made in this paper. The proposed measure unlike other measures (Pattern Recognition 24(6) (1991) 567; Pattern Recognition Lett. 16 (1995) 647; Pattern Recognition 28(8) (1995) 1277; IEEE Trans. Syst. Man Cybern. 24(4) (1994)) is multivalued and non-symmetric. The concept of mutual dissimilarity value is introduced to make the existing conventional clustering algorithms work on the proposed unconventional dissimilarity measure.

Item Type:	Article
Uncontrolled Keywords:	Symbolic patterns, Dissimilarity measure, Multivalued data type, Mutual dissimilarity value, Clustering of symbolic patterns
Subjects:	D Physical Science > Computer Science
Divisions:	Department of > Computer Science
Depositing User:	Manjula P Library Assistant
Date Deposited:	09 Sep 2019 11:31
Last Modified:	09 Sep 2019 11:31
URI:	http://eprints.uni-mysore.ac.in/id/eprint/7881

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