Research Article
Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets
Table 3
Training and testing time (sec) on digit “0” when increasing the number of training samples from 500 to 5000.
| | 500 | 1000 | 1500 | 2000 | 3000 | 4000 | 5000 |
| r | 242 | 366 | 453 | 514 | 605 | 670 | 735 |
| N/r | 2.07 | 2.73 | 3.31 | 3.89 | 4.96 | 5.97 | 6.80 |
| training stage | KPCA | 1.75 ± 0.055 | 6.98 ± 0.066 | 18.72 ± 0.140 | 35.46 ± 0.185 | 79.97 ± 0.570 | 154.65 ± 0.687 | 255.01 ± 2.083 | TP-IKPCA | 1.89 ± 0.019 | 5.34 ± 0.064 | 9.86 ± 0.085 | 14.92 ± 0.078 | 25.40 ± 0.015 | 37.46 ± 0.031 | 50.43 ± 0.411 | ratio | 0.93 | 1.31 | 1.90 | 2.38 | 3.15 | 4.13 | 5.06 |
| testing stage | KPCA | 0.358 ± 0.022 | 0.650 ± 0.013 | 1.131 ± 0.018 | 1.600 ± 0.026 | 2.406 ± 0.070 | 3.657 ± 0.170 | 5.234 ± 0.293 | TP-IKPCA | 0.181 ± 0.012 | 0.266 ± 0.014 | 0.323 ± 0.017 | 0.371 ± 0.016 | 0.429 ± 0.429 | 0.465 ± 0.011 | 0.511 ± 0.010 | ratio | 1.98 | 2.44 | 4.06 | 4.31 | 5.61 | 8.02 | 10.24 |
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