The occurrence randomness of rock joints leads to generating large amounts of datum that do not belong to any dominant group in the practical datasets. Thisconsequently causes the atypia of the data sets and the difficulty in determining dominant occurrences. In this study，A FCM-based dominant group determining method is developed，anda cut-back method is adoptedto eliminate the influence of the data out of the dominant groups. Synthetic tests show that the suggested method is superior to the traditional FCM method for extracting dominant occurrences from atypical data sets. This method can not only eliminate unexpected data but also be able to obtain a high proportion of valid data and accurate dominant occurrences. Then optimal parameters for atypical data sets were obtained by comparing the performances of different distance functions with the cluster center expressions. A practical application of this method to a gold mine shows that the suggested method and the optimized parameters perform well in determining dominant rock joint groups from atypical data sets.
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LIU Kai，LI Qiyue，LI Xibing，WANG Zewei. A dominant group determination method for atypical data sets of rock joint occurrences. , 2017, 36(S2): 4018-4024.
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2017, Vol. 36 
