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On the Indeterminacy of Resemblance Measures for Binary (Presence/Absence) Data

On the Indeterminacy of Resemblance Measures for Binary (Presence/Absence) Data Many similarity coefficients for binary data are defined as fractions. For certain resemblance measures the denominator may become zero. If the denominator is zero the value of the coefficient is indeterminate. It is shown that the seriousness of the indeterminacy problem differs with the resemblance measures. Following Batagelj and Bren (1995) we remove the indeterminacies by defining appropriate values in critical cases. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Classification Springer Journals

On the Indeterminacy of Resemblance Measures for Binary (Presence/Absence) Data

Journal of Classification , Volume 25 (1) – Jun 26, 2008

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References (37)

Publisher
Springer Journals
Copyright
Copyright © 2008 by Springer Science+Business Media, LLC
Subject
Statistics; Marketing ; Psychometrics; Signal, Image and Speech Processing; Bioinformatics; Pattern Recognition; Statistical Theory and Methods
ISSN
0176-4268
eISSN
1432-1343
DOI
10.1007/s00357-008-9006-8
Publisher site
See Article on Publisher Site

Abstract

Many similarity coefficients for binary data are defined as fractions. For certain resemblance measures the denominator may become zero. If the denominator is zero the value of the coefficient is indeterminate. It is shown that the seriousness of the indeterminacy problem differs with the resemblance measures. Following Batagelj and Bren (1995) we remove the indeterminacies by defining appropriate values in critical cases.

Journal

Journal of ClassificationSpringer Journals

Published: Jun 26, 2008

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