Description Usage Arguments Details Author(s) References
Validation index for validating fuzzy clustering result
1 | validation.index(object)
|
object |
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.
Achmad Fauzi Bagus F
Wang, W., & Zhang, Y. (2007). On Fuzzy Cluster Validity Indices. Fuzzy Sets and System, 2095-2117.
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