Table 1 :
From: Discrimination of proteins using graph theoretic properties
Contact Map | Delaunay Tes. | ||||
|---|---|---|---|---|---|
After OA* | Before OA* | After OA* | Before OA* | Classifier Description | |
Svc | 95,54% | 94,12% | 92,49% | 90,67% | Support vector classifier |
Klldc | 95,22% | 91,25% | 82,97% | 84,60% | Linear classifier by KL exp. of common cov matrix |
Ldc | 95,22% | 91,25% | 82,97% | 84,60% | Normal densities based linear classifier |
Pcldc | 95,22% | 91,25% | 82,97% | 84,60% | Linear classifier by PCA expansion on the joint data |
Loglc | 95,16% | 93,68% | 90,42% | 87,07% | Logistic linear classifier |