Research Article
A Feature Weighted Fuzzy Clustering Algorithm Based on Multistrategy Grey Wolf Optimization
Table 5
Parameter values for the clustering algorithms.
| | Algorithm | Parameter | Value |
| | FCM | m | 1.5 | | GWOFCM | Convergence parameter (a) | Linear reduction from 2 to 0 | | m | 1.5 | | Population | 50 | | HPSOFCM | Cognitive and social constant | (C1, C2) 0.5, 1.5 | | Inertia weight | Linear reduction from 0.9 to 0.1 | | Population | 50 | | m | 1.5 | | WFCM | t | 1.5 | | m | 1.5 | | EWFCM | m | 1.5 | | μ | 0.5 | | SFWFCM | p | −2 | | q | 2 | | m | 1.5 | | MSGWO-WFCM | Convergence parameter (a) | Nonlinear reduction from 2 to 0 | | k | 1 | | m | 1.5 | | Population | 50 | | t | 1.5 |
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