Validity measures for the fuzzy cluster analysis of orientations
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.
fuzzy cluster analysis cluster analysis orientations discontinuities cluster validity index cluster performance measure cluster validity indices cluster performance measures spherical data directional data