SPIDER The Spider Objects

KVQ kpca object - Kernel Vector Quantization


   A=KVQ(H) returns a kvq object initialized with hyperparameters H.   
    
   Hyperparameters, and their defaults  
    dist=1;          -- allowed point to point distortion.
    child=linear         -- child stores the kernel. The kernel induced the used distance measure. 
    a.cutoff = 1./3.      -- cutoff value for importance values
    a.return_indices = 0   -- return indices of points instead of samples.
   Model  
   a.keep                -- kept data points -- store data points kept for model       
   a.alpha               -- importance factors
   Methods:  
    train, test  
  
   Example: 
    d=gen(toy('n=2'));
    [r,a]=train(kvq,d)
    plot(a,d)

Reference : A kernel approach vor vector quantization with guaranteed distortion bounds
Author : M. Tipping, B. Schölkopf
Link : ftp://ftp.research.microsoft.com/users/mtipping/aistats01.ps.gz