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Parameter modification for clustering criteria

Parameter modification for clustering criteria The more ways there are of understanding a clustering technique, the more effectively the results can be analyzed and used. I will give a general procedure, calledparameter modification, to obtain from a clustering criterion a variety of equivalent forms of the criterion. These alternative forms reveal aspects of the technique that are not necessarily apparent in the original formulation. This procedure is successful in improving the understanding of a significant number of clustering techniques. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Classification Springer Journals

Parameter modification for clustering criteria

Journal of Classification , Volume 4 (2) – Jun 18, 2005

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References (23)

Publisher
Springer Journals
Copyright
Copyright © 1987 by Springer-Verlag
Subject
Statistics; Statistical Theory and Methods; Pattern Recognition; Bioinformatics; Signal,Image and Speech Processing; Psychometrics; Marketing
ISSN
0176-4268
eISSN
1432-1343
DOI
10.1007/BF01896986
Publisher site
See Article on Publisher Site

Abstract

The more ways there are of understanding a clustering technique, the more effectively the results can be analyzed and used. I will give a general procedure, calledparameter modification, to obtain from a clustering criterion a variety of equivalent forms of the criterion. These alternative forms reveal aspects of the technique that are not necessarily apparent in the original formulation. This procedure is successful in improving the understanding of a significant number of clustering techniques.

Journal

Journal of ClassificationSpringer Journals

Published: Jun 18, 2005

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