Algorithms
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        k-NN (affinity)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The k-nearest neighbor algorithm with weights proportional to similarities. See Chen09 for details.
        k-NN (uniform)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The k-nearest neighbor algorithm with uniform weights.
        KRI (clip)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The k-nearest neighbor algorithm with kernel ridge interpolation (KRI) weights by spectrum clip. See Chen09 for details.
        KRI (flip)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The k-nearest neighbor algorithm with kernel ridge interpolation (KRI) weights by spectrum flip. See Chen09 for details.
        KRI (shift)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The k-nearest neighbor algorithm with kernel ridge interpolation (KRI) weights by spectrum shift. See Chen09 for details.
        KRR (clip)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The k-nearest neighbor algorithm with kernel ridge regression (KRR) weights by spectrum clip. See Chen09 for details.
        KRR (flip)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The k-nearest neighbor algorithm with kernel ridge regression (KRR) weights by spectrum flip. See Chen09 for details.
        KRR (shift)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The k-nearest neighbor algorithm with kernel ridge regression (KRR) weights by spectrum shift. See Chen09 for details.
        Local SDA
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The local similarity discriminant analysis (SDA) classifier. See Cazzanti07 for details.
        PSVM
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The potential support vector machine (P-SVM) algorithm. See Hochreiter06 and Knebel08 for details.
        SVM (linear)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The support vector machine (SVM) algorithm with linear kernel on similarity feature vectors. See Chen09 for details.
        SVM (RBF)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The support vector machine (SVM) algorithm with Gaussian RBF kernel on similarity feature vectors. See Chen09 for details.
        SVM (sim_clip)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The support vector machine (SVM) algorithm with similarity kernel by spectrum clip. See Chen09 for details.
        SVM (sim_flip)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The support vector machine (SVM) algorithm with similarity kernel by spectrum flip. See Chen09 for details.
        SVM (sim_shift)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The support vector machine (SVM) algorithm with similarity kernel by spectrum shift. See Chen09 for details.
        SVM-KNN (clip)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The local support vector machine (SVM-KNN) algorithm with similarity kernel by spectrum clip. See Zhang06 and Chen09 for details.
        SVM-KNN (flip)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The local support vector machine (SVM-KNN) algorithm with similarity kernel by spectrum flip. See Zhang06 and Chen09 for details.
        SVM-KNN (shift)
Added: Wednesday, June 04, 2008 by Eric Garcia - University of Washington
     Description The local support vector machine (SVM-KNN) algorithm with similarity kernel by spectrum shift. See Zhang06 and Chen09 for details.

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