Research Article
Globality-Locality Preserving Maximum Variance Extreme Learning Machine
Table 4
Average training time for different ELM algorithms on UCI datasets and images (training time)(s).
| Dataset | ELM | MCVELM | GELM | RDELM | GLELM | ā | Average | Average | Average | Average | Average |
| ORL | 0.3291 | 2.7930 | 1.9805 | 2.7500 | 2.8828 | Yale | 1.1904 | 1.8145 | 1.3643 | 1.7773 | 1.9258 | Yale B | 1.7256 | 3.4258 | 26.6641 | 3.5576 | 4.4004 | MNIST | 1.4855 | 1.8996 | 13.4877 | 2.0480 | 2.5569 | USPS | 1.2862 | 1.4858 | 3.0412 | 1.7109 | 1.8942 | COIL20 | 1.2890 | 1.9280 | 4.3394 | 2.0825 | 2.4965 | Iris | 0.1752 | 0.1842 | 0.2321 | 0.2478 | 0.3281 | Wine | 0.2281 | 0.2547 | 0.2766 | 0.2844 | 0.3547 | Segment | 0.2813 | 0.3867 | 7.5508 | 0.4672 | 0.7695 | Glass | 0.1797 | 0.1953 | 0.1709 | 0.2295 | 0.3203 | Banknote | 0.2648 | 0.2700 | 1.8924 | 0.3385 | 0.3941 | Pima | 0.2031 | 0.2285 | 0.4961 | 0.2520 | 0.3496 |
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