Validation index for validating fuzzy clustering result
fuzzy clustering object
This function provide several validation indexs that calculated from fuzzy clustering result. Validation index can be used for choose best optimum parameter.
There are PC, MPC, CE, S, Xie Beni, Kwon, and Tang index. PC (Partition Coefficient), MPC (Modified Partition Coefficient), and CE (Classification Entropy) are calculated from membership matrix. S (Separation Index), Xie Beni, Kwon, and Tang use both distance and membership matrix.
The best cluster result can be decided with minimum value of index, except MPC and PC use maximum value.
validation index object.
Xie Beni Index
Modifief Partition Coef.
Achmad Fauzi Bagus F
Wang, W., & Zhang, Y. (2007). On Fuzzy Cluster Validity Indices. Fuzzy Sets and System, 2095-2117.
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