k-NN (affinity) Information:
The
k-nearest neighbor algorithm with weights proportional to similarities. See
Chen09 for details.
k-NN (uniform) Information:
The k-nearest neighbor algorithm with uniform weights.KRI (clip) Information:
The
k-nearest neighbor algorithm with kernel ridge interpolation (KRI) weights by spectrum clip. See
Chen09 for details.
KRI (flip) Information:
The
k-nearest neighbor algorithm with kernel ridge interpolation (KRI) weights by spectrum flip. See
Chen09 for details.
KRI (shift) Information:
The
k-nearest neighbor algorithm with kernel ridge interpolation (KRI) weights by spectrum shift. See
Chen09 for details.
KRR (clip) Information:
The
k-nearest neighbor algorithm with kernel ridge regression (KRR) weights by spectrum clip. See
Chen09 for details.
KRR (flip) Information:
The
k-nearest neighbor algorithm with kernel ridge regression (KRR) weights by spectrum flip. See
Chen09 for details.
KRR (shift) Information:
The
k-nearest neighbor algorithm with kernel ridge regression (KRR) weights by spectrum shift. See
Chen09 for details.
Local SDA Information:
The local similarity discriminant analysis (SDA) classifier. See
Cazzanti07 for details.
PSVM Information:
The potential support vector machine (P-SVM) algorithm. See
Hochreiter06 and
Knebel08 for details.
SVM (linear) Information:
The support vector machine (SVM) algorithm with linear kernel on similarity feature vectors. See
Chen09 for details.
SVM (RBF) Information:
The support vector machine (SVM) algorithm with Gaussian RBF kernel on similarity feature vectors. See
Chen09 for details.
SVM (sim_clip) Information:
The support vector machine (SVM) algorithm with similarity kernel by spectrum clip. See
Chen09 for details.
SVM (sim_flip) Information:
The support vector machine (SVM) algorithm with similarity kernel by spectrum flip. See
Chen09 for details.
SVM (sim_shift) Information:
The support vector machine (SVM) algorithm with similarity kernel by spectrum shift. See
Chen09 for details.
SVM-KNN (clip) Information:
The local support vector machine (SVM-KNN) algorithm with similarity kernel by spectrum clip. See
Zhang06 and
Chen09 for details.
SVM-KNN (flip) Information:
The local support vector machine (SVM-KNN) algorithm with similarity kernel by spectrum flip. See
Zhang06 and
Chen09 for details.
SVM-KNN (shift) Information:
The local support vector machine (SVM-KNN) algorithm with similarity kernel by spectrum shift. See
Zhang06 and
Chen09 for details.