Table 6 Running time for clustering and classification on DNA datasets. The fold improvement from a given method to the proposed SSAW approach is listed inside the parenthesis
From: SSAW: A new sequence similarity analysis method based on the stationary discrete wavelet transform
DNA-Data | Model | Total | Total |
|---|---|---|---|
| Â | Â | clustering time | classification time |
HOG100 | SSAW | 19.8000 | 16.8159 |
HOG100 | WFV | 55.4619(3) | 10.4614 |
HOG100 | \(K_{2}^{*}\) | 39.676(2) | 11.3421 |
HOG200 | SSAW | 50.9515 | 51.5956 |
HOG200 | WFV | 238.5061(5) | 26.8309 |
HOG200 | \(K_{2}^{*}\) | 104.327(2) | 37.8473 |
HOG300 | SSAW | 63.9960 | 77.7017 |
HOG300 | WFV | 640.1409(10) | 31.4625 |
HOG300 | \(K_{2}^{*}\) | 238.712(4) | 94.8274 |