Rapid and brief communication: Multivalued type dissimilarity measure and concept of mutual dissimilarity value for clustering symbolic patterns

Authors:
D. S. Guru;Bapu B. Kiranagi
Affiliations:
Department of Studies in Computer Science, University of Mysore, Manasagangothri, Mysore 570 006, Karnataka, India;Department of Studies in Computer Science, University of Mysore, Manasagangothri, Mysore 570 006, Karnataka, India
Venue:
Pattern Recognition
Year:
2005

Citing 2
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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.