DocumentCode :
2488469
Title :
Dunn’s cluster validity index as a contrast measure of VAT images
Author :
Havens, Timothy C. ; Bezdek, James C. ; Keller, James M. ; Popescu, Mihail
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Missouri, Columbia, MO
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
This paper addresses the relationship between the visual assessment of cluster tendency (VAT) algorithm and Dunnpsilas cluster validity index. We present an analytical comparison in conjunction with numerical examples to demonstrate that the effectiveness of VAT in showing cluster tendency is directly related to Dunnpsilas index. This analysis is important to understanding the underlying theory of VAT and VAT-based algorithms and, more generally, other algorithms that are based on, or similar to, Primpsilas Algorithm.
Keywords :
image processing; pattern clustering; Dunns cluster validity index; VAT image; visual assessment of cluster tendency; Algorithm design and analysis; Clustering algorithms; Couplings; Electric variables measurement; Feedback; Matrix converters; Partitioning algorithms; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761772
Filename :
4761772
Link To Document :
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