diff toolboxes/MIRtoolbox1.3.2/somtoolbox/som_dmat.m @ 0:e9a9cd732c1e tip

first hg version after svn

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/toolboxes/MIRtoolbox1.3.2/somtoolbox/som_dmat.m	Tue Feb 10 15:05:51 2015 +0000
@@ -0,0 +1,68 @@
+function dmat = som_dmat(sM,Ne,mode)
+
+%SOM_DMAT Find distance to neighbors for each map unit.
+%
+% dmat = som_dmat(sM,[Ne],[mode])
+%
+%  Input and output arguments ([]'s are optional):
+%   sM         (struct) map or data struct 
+%              (matrix) data matrix, size n x dim
+%   [Ne]       (matrix) neighborhood connections matrix 
+%              (string) 'Nk' (on map) or 'kNN' (any vector set)
+%                       where k = some number, e.g. 'N1' or '10NN'
+%              (empty)  use default 
+%   [mode]     (string) 'min', 'median', 'mean', 'max', or 
+%                       some arbitrary scalar function of 
+%                       a set of vectors
+%
+%   dmat       (vector) size n x 1, distance associated with each vector
+%   
+% See also KMEANS_CLUSTERS, SOM_CLLINKAGE, SOM_CLSTRUCT.
+
+% Copyright (c) 2000 by Juha Vesanto
+% Contributed to SOM Toolbox on June 16th, 2000 by Juha Vesanto
+% http://www.cis.hut.fi/projects/somtoolbox/
+ 
+% Version 2.0beta juuso 220800
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+% map 
+if isstruct(sM), 
+  switch sM.type, 
+   case 'som_map',  M = sM.codebook; mask = sM.mask; 
+   case 'som_data', M = sM.data; mask = ones(size(M,2),1);
+  end
+else
+  M = sM; mask = ones(size(M,2),1);
+end
+[n dim] = size(M);
+
+% neighborhoods 
+if nargin<2 | isempty(Ne), Ne = som_neighbors(sM); 
+elseif ischar(Ne), Ne = som_neighbors(sM,Ne); 
+end
+l = size(Ne,1); Ne([0:l-1]*l+[1:l]) = 0; % set diagonal elements = 0
+
+% mode
+if nargin<3 | isempty(mode), mode = 'median'; end
+calc = sprintf('%s(x)',mode); 
+
+% distances
+dmat = zeros(n,1); 
+for i=1:n, 
+  ne = find(Ne(i,:));
+  if any(ne), 
+    [dummy,x] = som_bmus(M(ne,:),M(i,:),[1:length(ne)],mask); 
+    dmat(i) = eval(calc); 
+  else 
+    dmat(i) = NaN; 
+  end
+end
+
+return; 
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+  
+