Table 9 Running time for clustering and classification on protein datasets. The fold improvement from the a given method to the proposed SSAW is listed inside the parenthesis
From: SSAW: A new sequence similarity analysis method based on the stationary discrete wavelet transform
Protein-data | Models | Total clustering | Total classification |
|---|---|---|---|
| Â | Â | time | time |
HOG100 | SSAW | 0.1638 | 0.1262 |
HOG100 | WFV | 5.5554(34) | 0.4164(3) |
HOG100 | \(K_{2}^{*}\) | 10.964(67) | 1.3780(11) |
HOG200 | SSAW | 0.3542 | 0.2738 |
HOG200 | WFV | 11.5037(32) | 0.9362(3) |
HOG200 | \(K_{2}^{*}\) | 49.016(138) | 3.091(11) |
HOG300 | SSAW | 0.6965 | 0.5077 |
HOG300 | WFV | 27.2514(39) | 1.7460(3) |
HOG300 | \(K_{2}^{*}\) | 126.984(182) | 5.284(10) |