Table 4.
Classification results using Convex-NMF for DR prior to classification with Fisher LDA.
| LTE | |||||
|---|---|---|---|---|---|
| A2, NO(2SS) | A2, ME, NO(3SS) | A2, GL, NO(3SS) | A2, MM, NO(3SS) | A2, AG, NO(4SS) | A2, AG, MM(4SS) |
| Total:100% ± 0.0 | Total:92.6% ± 3.3 | Total:85.1% ± 3.4 | Total:97.7% ± 1.6 | Total:90.9% ± 2.4 | Total:79.4% ± 3.0 |
| A2:100% ± 0.0 | A2:100% ± 0.0 | A2:84.9% ± 8.5 | A2:94.8% ± 5.0 | A2:100% ± 0.0 | A2:94.9% ± 5.2 |
| NO:100% ± 0.0 | ME:84.1% ± 6.8 | GL:82.3% ± 4.3 | GL:98.2% ± 1.9 | AG:88.0% ± 3.1 | AG:72.5% ± 4.3 |
| NO:100% ± 0.0 | NO:100% ± 0.0 | NO:100% ± 0.0 | NO:100% ± 0.0 | MM:87.5% ± 4.3 | |
| STE | |||||
| A2, NO(2SS) | A2, ME, NO(3SS) | A2, GL, NO(3SS) | A2, MM, NO(3SS) | A2, AG, NO(4SS) | A2, AG, MM(4SS) |
| Total:95.5% ± 3.1 | Total:94.0% ± 2.6 | Total:91.0% ± 2.5 | Total:92.2% ± 2.7 | Total:92.3% ± 2.0 | TOTAL:87.7% ± 2.3 |
| A2:91.2% ± 6.0 | A2:86.3% ± 7.4 | A2:82.5% ± 8.1 | A2:86.3% ± 7.7 | A2:81.9% ± 8.2 | A2:95.5% ± 4.6 |
| NO:100% ± 0.0 | ME:95.0% ± 3.5 | GL:90.9% ± 3.1 | GL:91.5% ± 3.7 | AG:92.8% ± 2.3 | AG:86.3% ± 3.2 |
| NO:100% ± 0.0 | NO:100% ± 0.0 | NO:100% ± 0.0 | NO:100% ± 0.0 | MM:87.7% ± 4.3 | |
Classification results (accuracy ± standard deviation) obtained with Fisher LDA (implemented in SpectraClassifier) for six diagnostic problems, from the source signals obtained by Convex-NMF, for data acquired at LTE and STE. Classifier results were validated through bootstrap. The number of source signals (SS) used in the experiments is indicated in parentheses