git.schokokeks.org
Repositories
Help
Report an Issue
SVMCrossVal.git
Code
Commits
Branches
Tags
Suche
Strukturansicht:
4dbef18
Branches
Tags
master
SVMCrossVal.git
somtoolbox2
som_order_cplanes.m
starting som prediction fine-tuned class-performance visualisation
Christoph Budziszewski
commited
4dbef18
at 2009-01-21 16:34:25
som_order_cplanes.m
Blame
History
Raw
function P = som_order_cplanes(sM, varargin) %SOM_ORDER_CPLANES Orders and shows the SOM component planes. % % P = som_order_cplanes(sM, [[argID,] value, ...]) % % som_order_cplanes(sM); % som_order_cplanes(sM,'comp',1:30,'simil',C,'pca'); % P = som_order_cplanes(sM); % % Input and output arguments ([]'s are optional): % sM (struct) map or data struct % (matrix) a data matrix, size * x dim % [argID, (string) See below. The values which are unambiguous can % value] (varies) be given without the preceeding argID. % % P (matrix) size n x * (typically n x 2), the projection coordinates % % Here are the valid argument IDs and corresponding values. The values % which are unambiguous (marked with '*') can be given without the % preceeding argID. % 'comp' (vector) size 1 x n, which components to project, 1:dim by default % 'simil' *(string) similarity measure to use % 'corr' linear correlation between component planes % 'abs(corr)' absolute value of correlation (default) % 'umat' as 'abs(corr)' but calculated from U-matrices % 'mutu' mutual information (not implemented yet) % (matrix) size n x n, a similarity matrix to be used % 'proj' *(string) projection method to use: 'SOM' (default), % 'pca', 'sammon', 'cca', 'order', 'ring' % 'msize' (vector) size of the SOM that is used for projection % 'show' *(string) how visualization is done: 'planes' (default), % 'names', or 'none' % 'mask' (vector) dim x 1, the mask to use, ones(dim,1) by default % 'comp_names' (cell array) of strings, size dim x 1, the component names % % The visualized objects have a callback associated with them: by % clicking on the object, the index and name of the component are printed % to the standard output. % % See also SOM_SHOW. % Copyright (c) 2000 by the SOM toolbox programming team. % Contributed to SOM Toolbox on June 16th, 2000 by Juha Vesanto % http://www.cis.hut.fi/projects/somtoolbox/ % Version 2.0beta juuso 120600 070601 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% check arguments % sM if isstruct(sM), switch sM.type case 'som_map', D = sM.codebook; dim = size(D,2); cnames = sM.comp_names; mask = sM.mask; ismap = 1; case 'som_data', D = sM.data; dim = size(D,2); cnames = sM.comp_names; mask = ones(dim,1); ismap = 0; otherwise, error('Invalid first argument.'); end else D = sM; dim = size(D,2); mask = ones(dim,1); cnames = cell(dim,1); for i = 1:dim, cnames{i} = sprintf('Variable%d',i); end ismap = 0; end % defaults comps = 1:dim; simil = 'abs(corr)'; proj = 'SOM'; show = 'planes'; mapsize = NaN; % varargin i=1; while i<=length(varargin), argok = 1; if ischar(varargin{i}), switch varargin{i}, % argument IDs case 'mask', i=i+1; mask = varargin{i}; case 'comp_names', i=i+1; cnames = varargin{i}; case 'comp', i=i+1; comps = varargin{i}; case 'proj', i=i+1; proj = varargin{i}; case 'show', i=i+1; show = varargin{i}; case 'simil', i=i+1; simil = varargin{i}; case 'msize', i=i+1; mapsize = varargin{i}; % unambiguous values case {'corr','abs(corr)','umat','mutu'}, simil = varargin{i}; case {'SOM','pca','sammon','cca','order','ring'}, proj = varargin{i}; case {'planes','names','none'}, show = varargin{i}; otherwise argok=0; end else argok = 0; end if ~argok, disp(['(som_order_cplanes) Ignoring invalid argument #' num2str(i+1)]); end i = i+1; end if strcmp(show,'planes') & ~ismap, warning('Given data is not a map: using ''names'' visualization.'); show = 'names'; end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% similarity matrix fprintf(1,'Calculating similarity matrix\n'); % use U-matrix if strcmp(simil,'umat'), if ~ismap, error('Given data is not a map: cannot use U-matrix similarity.'); end U = som_umat(sM); D = zeros(prod(size(U)),dim); m = zeros(dim,1); for i=1:dim, m=m*0; m(i)=1; U = som_umat(sM,'mask',m); D(:,i) = U(:); end end % components D = D(:,comps); cnames = cnames(comps); mask = mask(comps); dim = length(comps); % similarity matrix if ischar(simil), switch simil, case {'corr','abs(corr)','umat'}, A = zeros(dim); me = zeros(1,dim); for i=1:dim, me(i) = mean(D(isfinite(D(:,i)),i)); D(:,i) = D(:,i) - me(i); end for i=1:dim, for j=i:dim, c = D(:,i).*D(:,j); c = c(isfinite(c)); A(i,j) = sum(c)/length(c); A(j,i) = A(i,j); end end s = diag(A); A = A./sqrt(s*s'); switch simil, case {'abs(corr)','umat'}, A = abs(A); case 'corr', A = A + 1; end case 'mutu', error('Mutual information not implemented yet.'); end else A = simil; end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% projection fprintf(1,'Projection\n'); mu = 2*dim; switch proj, case 'SOM', if isnan(mapsize), sMtmp = som_randinit(A,'munits',mu); msize = sMtmp.topol.msize; else msize = mapsize; end sM2 = som_make(A,'msize',msize,'rect','tracking',0); bm = assign_unique_bm(sM2,A); Co = som_unit_coords(sM2); P = Co(bm,:); case 'ring', if isnan(mapsize), msize = [1 mu]; else msize = mapsize; end sM2 = som_make(A,'msize',msize,'cyl','rect','tracking',0); bm = assign_unique_bm(sM2,A); Co = som_unit_coords(sM2); P = Co(bm,[1 3]); case 'order', if isnan(mapsize), msize = [1 mu]; else msize = mapsize; end sM2 = som_make(A,'msize',msize,'tracking',0); bm = assign_unique_bm(sM2,A); [dummy,i] = sort(bm); [dummy,P] = sort(i); if size(P,2)>1, P = P'; end if size(P,2)==1, P(:,2) = zeros(length(P),1); end case {'pca','sammon','cca'}, P = pcaproj(A,2); if strcmp(proj,'sammon'), P = sammon(A,P,50,'steps'); elseif strcmp(proj,'cca'), P = cca(A,P,50); end end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% visualization if ~strcmp(show,'none'), fprintf(1,'Visualization\n'); cla hold on if strcmp(show,'planes') s = findscaling(sM.topol.msize,P); for i=1:dim, C = som_normcolor(D(:,i)); if strcmp(simil,'umat'), h=som_cplane([sM.topol.lattice 'U'],sM.topol.msize,C,1,s*P(i,:)); else h=som_cplane(sM,C,1,s*P(i,:)); end set(h,'edgecolor','none','Userdata',sprintf('[%d] %s',i,cnames{i})); set(h,'ButtonDownFcn','fprintf(1,''%s\n'',get(gco,''UserData''))'); end else s=1; a=[min(P(:,1))-1 max(P(:,1))+1 min(P(:,2))-1-3 max(P(:,2))+1-3]; axis(s*a); end h=text(s*P(:,1),s*P(:,2)-3,cnames); for i=1:length(h), set(h(i),'Userdata',sprintf('[%d] %s',i,cnames{i})); end set(h,'ButtonDownFcn','fprintf(1,''%s\n'',get(gco,''UserData''))'); hold off axis on; axis equal; axis tight; set(gca,'XTick',[],'YTick',[],'Box','on'); end return; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%5 %% subfunctions function bm = assign_unique_bm(sM,D) munits = size(sM.codebook,1); [dlen dim] = size(D); margin = max(0,dlen-munits); [bm,qers] = som_bmus(sM,D); bmi=ones(dim,1); hits = som_hits(sM,D); mult = find(hits>1); while any(mult) & sum(hits(mult))-length(mult)>margin, choices = find(bm==mult(1)); while length(choices)>1, [dummy,mv] = max(qers(choices)); mv = choices(mv); [mv_to,q] = som_bmus(sM,D(mv,:),bmi(mv)); bmi(mv)=bmi(mv)+1; qers(mv) = q; bm(mv) = mv_to; choices = find(bm==mv_to); end for i=1:length(hits), hits(i)=sum(bm==i); end mult = find(hits>1); end return; function s = findscaling(msize,P) d1 = median(abs(diff(unique(sort(P(:,1)))))); d2 = median(abs(diff(unique(sort(P(:,2)))))); if d1>0, s1 = 1.5*msize(2)/d1; else s1 = 0; end if d2>0, s2 = 1.5*msize(1)/d2; else s2 = 0; end s = max(s1,s2); if s==0, s=1; end return; function alternative_SOM_plane_vis(sT,bm,simil,D,cnames) clf for i=1:size(D,2), subplot(sT.msize(2),sT.msize(1),bm(i)); if strcmp(simil,'umat'), h=som_cplane([sT.lattice 'U'],sT.msize,D(:,i)); else h=som_cplane(sT,D(:,i)); end set(h,'edgecolor','none'); title(cnames{i}); axis off end return;