Comparison of Fuzzy Clustering Methods and Their Applications to Geophysics Data
Figure 11
Representative results of various clustering algorithm runs: (a) Poor result: Region “D,” iterative G-K, average partition density performance measure, maximum clusters 3; (b) Good result: Region “D,” iterative G-K, fuzzy hypervolume performance measure, maximum clusters 10; (c) Poor result: Region “C,” iterative G-K, fuzzy hypervolume performance measure, maximum clusters 3; (d) Good result: Region “C,” G-K, max clusters = 10; (e) Poor result: Region “A,” FCM, max clusters = 10.
