Research Article
Estimating the Concrete Compressive Strength Using Hard Clustering and Fuzzy Clustering Based Regression Techniques
Table 4
MAE and RMSE using LMS regression for different number of clusters in
-means algorithm.
| Number of clusters | Cluster number | MAE | RMSE | Number of records | Weighted MAE | Weighted RMSE |
| 1 | 1 | 10.0897 | 12.5563 | 1030 | 10.09 | 12.56 |
| 2 | 1 | 10.7509 | 13.23 | 586 | 9.94 | 12.34 | 2 | 8.8628 | 11.1749 | 444 |
| 3 | 1 | 11.48 | 14.53 | 182 | 10.07 | 12.52 | 2 | 9.79 | 12.10 | 533 | 3 | 9.72 | 12.06 | 315 |
| 4 | 1 | 12.17 | 14.58 | 108 | 9.75 | 12.19 | 2 | 9.36 | 11.88 | 249 | 3 | 10.79 | 13.31 | 297 | 4 | 8.49 | 10.83 | 376 |
| 7 | 1 | 11.23 | 14.50 | 78 | 10.02 | 12.54 | 2 | 10.26 | 12.84 | 214 | 3 | 11.47 | 13.77 | 246 | 4 | 6.60 | 9.23 | 103 | 5 | 10.71 | 14.00 | 89 | 6 | 9.57 | 12.07 | 171 | 7 | 8.96 | 10.75 | 129 |
| 10 | 1 | 12.37 | 15.57 | 54 | 10.80 | 13.77 | 2 | 8.96 | 11.30 | 159 | 3 | 11.41 | 14.68 | 114 | 4 | 6.12 | 8.83 | 102 | 5 | 11.65 | 14.58 | 86 | 6 | 10.38 | 12.75 | 162 | 7 | 9.096 | 10.99 | 115 | 8 | 10.82 | 12.85 | 150 | 9 | 18.15 | 22.37 | 25 | 10 | 20.61 | 30.16 | 63 |
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