Research Article
A Computer-Aided Diagnosis System for Breast Cancer Using Independent Component Analysis and Fuzzy Classifier
Table 2
and ; and total PCA, ICA, and PCA-ICA algorithms accuracy.
| | Set | PCA | ICA | CADD | | PC | | | Accuracy | | | Accuracy | PC | | | Accuracy |
| | 1 | 19 | 17.65% | 25.21% | 57.14% | 10.08% | 40.34% | 49.58% | 25 | 15.13% | 18.48% | 66.39% | | 2 | 20 | 26.05% | 10.08% | 63.87% | 10.08% | 40.34% | 49.58% | 10 | 12.61% | 18.48% | 68.91% | | 3 | 5 | 10.08% | 14.29% | 75.63% | 10.08% | 40.34% | 49.58% | 5 | 9.24% | 6.73% | 84.03% | | 4 | 6 | 12.61% | 21% | 66.39% | 10.08% | 40.34% | 49.58% | 5 | 20.17% | 10.08% | 69.75% | | 5 | 5 | 11.75% | 7.58% | 80.67% | 10.08% | 40.34% | 49.58% | 6 | 7.56% | 8.41% | 84.03% |
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