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SVMCrossVal.git
somtoolbox2
som_projections.m
starting som prediction fine-tuned class-performance visualisation
Christoph Budziszewski
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4dbef18
at 2009-01-21 16:34:25
som_projections.m
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function [cPCAarg, Pdata, Pproto] = som_projections(D,sM,bmus) % SOM_PROJECTIONS Makes different kinds of projections for the data and the prototypes. % % [cPCAarg, Pdata, Pproto] = som_projections(D,sM,[bmus]) % % sD (struct) data struct % (matrix) size dlen x dim % sM (struct) map struct % (matrix) size munits x dim: prototype vectors % [bmus] (vector) BMU for each data vector (calculated if not specified) % % cPCAarg (cell array) PCA arguments: {V, me, l} from pcaproj function % Pdata (matrix) size dlen x 7, consisting of 3 projection coordinates from PCA, % 1 residual from the rest of the PCA-projection coordinates, % and 3 color components % Pproto (matrix) size dlen x 7, consisting of 3 projection coordinates from PCA, % 1 residual from the rest of the PCA-projection coordinates, % 3 color components, and 3 projection coordinates from CCA % % See also PCAPROJ, CCA, SAMMON, SOM_PROJECTIONS_PLOT, SOM_COLORING, SOM_COLORCODE, % SOM_CLUSTERCOLOR, SOM_KMEANCOLOR. if isstruct(D), cn = D.comp_names; D = D.data; end [dlen dim] = size(D); if nargin<3, bmus = som_bmus(sM,D); end % projection of data [P0,V,me,l] = pcaproj(D,dim); D1 = som_fillnans(D,sM); P1 = pcaproj(D1,V,me); Res4 = zeros(dlen,1); if dim<=3, Res4 = zeros(dlen,1); else Res4 = sqrt(sum(P1(:,4:end).*P1(:,4:end),2)); end P1 = P1(:,1:min(3,dim)); if dim<3, P1 = [P1, zeros(dlen,3-dim)]; end % projection of codebook vectors P1_m = pcaproj(sM,V,me); Res4_m = zeros(dlen,1); if dim<=3, Res4_m = zeros(dlen,1); else Res4_m = sum(P1_m(:,4:end).*P1_m(:,4:end),2); end P1_m = P1_m(:,1:min(3,dim)); if dim<3, P1_m = [P1_m, zeros(size(P1_m,1),3-dim)]; end P2_m = cca(sM,P1_m,20); PCol_m = som_coloring(sM); PCol = PCol_m(bmus,:); % output cPCAarg = {V,me,l}; Pdata = [P1, Res4, PCol]; Pproto = [P1_m, Res4_m, PCol_m, P2_m]; return;