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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