Research Article
A Computer-Aided Diagnosis System for Breast Cancer Using Independent Component Analysis and Fuzzy Classifier
Table 4
Number of selected principal components impact on algorithm
accuracy where learning rate and mapping range of each set are kept fixed.
| | PC | Set no. 1 | Set no. 2 | Set no. 3 | Set no. 4 | Set no. 5 |
| | 5 | 61.35% | 65.55% | 84% | 69.75% | 81.52% | | 6 | 55.46% | 64.71% | 79.83% | 68.07% | 84.03% | | 7 | 62.19% | 66.39% | 78.99% | 68.91% | 82.35% | | 8 | 66.39% | 66.39% | 78.99% | 65.55% | 78.15% | | 9 | 59.66% | 66.39% | 70.59% | 67.23% | 76.47% | | 10 | 58.82% | 68.91% | 80.67% | 66.39% | 74.79% | | 11 | 63.03% | 65.55% | 69.75% | 63.87% | 75.63% | | 12 | 58.82% | 60.5% | 72.27% | 63.03% | 78.15% | | 13 | 62.19% | 63.87% | 70.59% | 63.87% | 74.79% | | 14 | 63.87% | 62.19% | 73.95% | 62.19% | 77.31% | | 15 | 57.98% | 63.03% | 69.75% | 63.03% | 73.95% | | 16 | 62.19% | 59.66% | 68.07% | 63.03% | 76.47% | | 17 | 62.19% | 67.23% | 72.29% | 63.87% | 77.31% | | 18 | 63.03% | 60.5% | 71.43% | 62.19% | 76.47% | | 19 | 64.71% | 67.23% | 72.29% | 64.71% | 79.83% | | 20 | 62.19% | 64.71% | 79.83% | 62.19% | 73.95% | | 21 | 60.5% | 66.39% | 74.79% | 61.35% | 80.67% | | 22 | 63.03% | 66.39% | 78.15% | 62.19% | 71.43% | | 23 | 63.03% | 63.87% | 80.67% | 63.87% | 74.79% | | 24 | 58.82% | 60.5% | 73.95% | 62.19% | 80.67% | | 25 | 59.66% | 60.5% | 68.91% | 63.03% | 79.83% |
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