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SVMCrossVal.git
somtoolbox2
som_modify_dataset.m
starting som prediction fine-tuned class-performance visualisation
Christoph Budziszewski
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4dbef18
at 2009-01-21 16:34:25
som_modify_dataset.m
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function sD = som_modify_dataset(sD,action,varargin) %SOM_MODIFY_DATASET Add or remove components or samples to/from a data struct. % % sD = som_modify_dataset(sD, 'addcomp', D, [indsto], [cnames}) % sD = som_modify_dataset(sD, 'addsamp', D, [indsto], ['norm']) % sD = som_modify_dataset(sD, 'removecomp', [inds]) % sD = som_modify_dataset(sD, 'removesamp', inds) % sD = som_modify_dataset(sD, 'extractcomp', [inds]) % sD = som_modify_dataset(sD, 'extractsamp', inds) % sD = som_modify_dataset(sD, 'movecomp', inds, indsto) % sD = som_modify_dataset(sD, 'movesamp', inds, indsto) % % Input and output arguments ([]'s are optional) % sD (struct) data struct % action (string) 'addcomp', 'addsamp', 'removecomp', 'removesamp', % 'extractcomp', 'extractsamp', 'movecomp', or 'movesamp' % % other input arguments depend on the action % % 'addcomp': % D (matrix) data matrix, size [dlen x d] % (struct) data struct, size of .data field [dlen x d] % [indsto] (vector) new indeces of the components, length=d % [cnames] (cellstr) of size d x 1, the component names % % 'addsamp': % D (matrix) data matrix, size [n x dim] % [indsto] (vector) new indeces of the samples, length=n % ['norm'] (string) specified if the normalization procedure % should be applied to the new samples % % 'removecomp', 'extractcomp': % [inds] (vector) indeces of the components to be removed/extracted. % If not given, a prompt will appear from which the % user can select the appropriate components. % % 'removesamp', 'extractsamp': % inds (vector) indeces of the samples to be removed/extracted % % 'movecomp', 'movesamp': % inds (vector) indeces of the components/samples to be moved % indsto (vector) new indeces of the components/samples % % See also SOM_DATA_STRUCT. % 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 200400 160600 280800 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% input arguments [dlen dim] = size(sD.data); switch action, case 'addcomp', D = varargin{1}; if isstruct(D), [n d] = size(D.data); else [n d] = size(D); end if n ~= dlen, error('The number of samples in the data struct and new data should match.'); end indsto = []; cnames = []; for i=2:length(varargin), if isnumeric(varargin{i}), indsto = varargin{i}; if length(indsto) ~= d, error('The number of indeces should match the number of new components'); end else if ischar(varargin{i}), cnames = cellstr(varargin{i}); elseif iscellstr(varargin{i}), cnames = varargin{i}; else error(['[som_modify_dataset] Unrecognized argument #' num2str(i+1)]); end if length(cnames) ~= d, error('The number of component names should match the number of new components'); end end end case 'addsamp', D = varargin{1}; if isstruct(D), lab = D.labels; if isfield(D,'data'), D = D.data; else D = D.codebook; end else lab = []; end [n d] = size(D); if d ~= dim, error(['The dimensions of the old and new data sets should match.']); end norm = 0; indsto = []; for i=2:length(varargin), if ischar(varargin{i}) & strcmp(varargin{i},'norm'), norm = 1; elseif isnumeric(varargin{i}), indsto = varargin{i}; if length(indsto) ~= n, error(['The number of new indeces should match the number of new' ... ' samples']); end else warning(['[som_modify_dataset] Ignoring unrecognized argument #', ... num2str(i+2)]); end end case 'removecomp', if length(varargin)>0, inds = varargin{1}; else [inds, ok] = listdlg('ListString',sD.comp_names, 'PromptString', ... 'Components', 'Name', 'Remove components', 'uh', 25); if ~ok, return; end end if min(inds)<1 | max(inds)>dim, error('The component indeces must be within [1,dim]'); end case 'removesamp', inds = varargin{1}; if min(inds)<1 | max(inds)>dlen, error('The sample indeces must be within [1,dlen]'); end case 'extractcomp', if length(varargin)>0, inds = varargin{1}; else [inds, ok] = listdlg('ListString',sD.comp_names, 'PromptString',... 'Components', 'Name', 'Extract components', 'uh', 25); if ~ok, return; end end if min(inds)<1 | max(inds)>dim, error('The component indeces must be within [1,dim]'); end case 'extractsamp', inds = varargin{1}; if min(inds)<1 | max(inds)>dlen, error('The sample indeces must be within [1,dlen]'); end case 'movecomp', inds = varargin{1}; indsto = varargin{2}; if min(inds)<1 | max(inds)>dim | min(indsto)<1 | max(indsto)>dim, error('The component indeces must be within [1,dim]'); end case 'movesamp', inds = varargin{1}; indsto = varargin{2}; if min(inds)<1 | max(inds)>dlen | min(indsto)<1 | max(indsto)>dlen, error('The sample indeces must be within [1,dlen]'); end otherwise, error('Unrecognized action mode'); end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% action switch action, case 'addcomp', if isstruct(D), sD.data = [sD.data, D.data]; sD.comp_names(dim+[1:d]) = D.comp_names; sD.comp_norm(dim+[1:d]) = D.comp_norm; sD = som_label(sD,'add',1:dlen,D.labels); else sD.data = [sD.data, D]; if isempty(cnames), for i=1:d, sD.comp_names(dim+i) = {sprintf('Variable%d',i+dim)}; end else sD.comp_names(dim+[1:d]) = cnames; end for i=1:d, sD.comp_norm(dim+i) = {[]}; end end if ~isempty(indsto), sD = som_modify_dataset(sD,'movecomp',dim+[1:d],indsto); end case 'addsamp', if norm, D = som_normalize(D,sD); end sD.data = [sD.data; D]; nl = size(sD.labels,2); sD.labels(dlen+[1:n],1:nl) = {''}; if ~isempty(lab), nl2 = size(lab,2); if nl2>nl, sD.labels(1:dlen,nl+[1:(nl2-nl)]) = {''}; end sD.labels(dlen+[1:n],1:nl2) = lab; end if ~isempty(indsto), sD = som_modify_dataset(sD,'movesamp',dlen+[1:n],indsto); end case 'removecomp', includeinds = 1:dim; includeinds(inds) = 0; sD = som_modify_dataset(sD,'extractcomp',find(includeinds)); case 'removesamp', includeinds = 1:dlen; includeinds(inds) = 0; sD = som_modify_dataset(sD,'extractsamp',find(includeinds)); case 'extractcomp', sD.data = sD.data(:,inds); sD.comp_names = sD.comp_names(inds); sD.comp_norm = sD.comp_norm(inds); case 'extractsamp', sD.data = sD.data(inds,:); sD.labels = sD.labels(inds,:); case 'movecomp', [indsto,order] = sort(indsto); inds = inds(order); oldinds = 1:dim; oldinds(inds) = 0; newinds = oldinds(oldinds>0); for i=1:length(indsto), ifrom = inds(i); ito = indsto(i); if ito==1, newinds = [ifrom, newinds]; else newinds = [newinds(1:ito-1), ifrom, newinds(ito:end)]; end end sD.data = sD.data(:,newinds); sD.comp_names = sD.comp_names(:,newinds); sD.comp_norm = sD.comp_norm(:,newinds); case 'movesamp', [indsto,order] = sort(indsto); inds = inds(order); oldinds = 1:dim; oldinds(inds) = 0; newinds = oldinds(oldinds>0); for i=1:length(indsto), ifrom = inds(i); ito = indsto(i); if ito==1, newinds = [ifrom, newinds]; else newinds = [newinds(1:ito-1), ifrom, newinds(ito:end)]; end end sD.data = sD.data(newinds,:); sD.labels = sD.labels(newinds,:); end %som_set(sD);