 Usage:  cagg = agglom (d, method, no{, opt})  

 

 Input:



  d                      n x 1 vector or l x l matrix of distances 

                         

  method                 string, one of: "WARD", "SINGLE", "COMPLETE", "MEAN_LINK", "MEDIAN_LINK", "AVERAGE", "CENTROID" or "LANCE". 

                         

  no                     scalar, number of clusters 

                         

  opt                    optional argument for some methods - see note below 

                         

 Output:



  cagg.p                 l x 1 matrix with partition numbers (1,2,...) 

                         

  cagg.t                 p x 2 matrix with the dendrogram for no clusters 

                         

  cagg.g                 p x 2 matrix with the dendrogram for all l clusters 

                         

  cagg.pd                l x 1 matrix with with partition numbers (1,2,...) 

                         

  cagg.d                 no x (no-1)/2 matrix with distances between the cluster centers 

                         

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

