Validity Measures for the Fuzzy Cluster Analysis of Orientations

Authors:
Reginald E. Hammah;John H. Curran
Affiliations:
Rocscience Inc., Toronto, ON, Canada;Univ. of Toronto., Toronto, ON, Canada
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
2000

Citing 4
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Abstract

Fuzzy K-means clustering can be applied to the automatic identification of sets in discontinuity data after suitable adaptation of the algorithm. To establish the number of clusters in a data set, modified versions of the validity measures of Gath and Geva, Xie-Beni and Fukuyama-Sugeno are presented in this paper.