 Usage:  ca = adap(x, k, w, m, t)  

 

 Input:



  x                      n x p matrix of n row points to be clustered 

                         

  k                      scalar the number of clusters 

                         

  w                      p x 1 matrix of weights of column points 

                         

  m                      n x 1 matrix of weights (masses) of row points 

                         

  t                      n x 1 matrix of the true partition (only if known, 

                         else a matrix containing 1) 

                         

 Output:



  ca.b                   n x 1 matrix partition of n points into k clusters 

                         

  ca.c                   k x p matrix of means (centroids) of clusters 

                         

  ca.v                   k x p matrix of within cluster variances divided by 

                         the corresponding weights (masses) of clusters 

                         

  ca.s                   k x 1 matrix of weights (masses) of clusters 

                         

  ca.a                   p x 1 matrix of adaptive weights of variables 

                         

--------------------------------------------------------------

(C) MD*TECH Method and Data Technologies, 21.9.2000

