Research Article
Unsupervised Optimal Discriminant Vector Based Feature Selection Method
Table 4
The feature importance measurement of steel plates dataset.
| Number | Number of features | The feature importance measurement | |
| 1 | 19 | 0.2191 | 0.2191 | 2 | 15 | 0.1339 | 0.353 | 3 | 16 | 0.1283 | 0.4831 | 4 | 17 | 0.0777 | 0.559 | 5 | 13 | 0.0676 | 0.6266 | 6 | 12 | 0.0676 | 0.6942 | 7 | 20 | 0.0577 | 0.7519 | 8 | 27 | 0.0548 | 0.8067 | 9 | 21 | 0.051 | 0.8577 | 10 | 24 | 0.0343 | 0.892 | 11 | 22 | 0.0341 | 0.9261 | 12 | 23 | 0.0247 | 0.9508 | 13 | 25 | 0.0099 | 0.9607 | 14 | 2 | 0.0075 | 0.9682 | 15 | 1 | 0.0074 | 0.9756 | 16 | 26 | 0.007 | 0.9826 | 17 | 7 | 0.0044 | 0.987 | 18 | 6 | 0.0033 | 0.9903 | 19 | 4 | 0.0029 | 0.9932 | 20 | 3 | 0.0029 | 0.9961 | 21 | 14 | 0.0021 | 0.9982 | 22 | 9 | 0.001 | 0.9992 | 23 | 10 | 0.0005 | 0.9997 | 24 | 18 | 0.0001 | 0.9998 | 25 | 5 | 0.0001 | 0.9999 | 26 | 11 | 0 | 0.9999 | 27 | 8 | 0 | 0.9999 |
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