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Validity Measures for the Fuzzy Cluster Analysis of Orientations
December 2000 (vol. 22 no. 12)
pp. 1467-1472

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.

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Index Terms:
Fuzzy cluster analysis, cluster analysis, cluster validity index, cluster performance measure, cluster validity indices, cluster performance measures, discontinuities, orientations, spherical data, directional data.
Citation:
Reginald E. Hammah, John H. Curran, "Validity Measures for the Fuzzy Cluster Analysis of Orientations," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 12, pp. 1467-1472, Dec. 2000, doi:10.1109/34.895981
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