Mercurial > hg > camir-aes2014
view toolboxes/MIRtoolbox1.3.2/somtoolbox/som_coloring.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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function Col = som_coloring(sM,ncol,chaingap,dw) % SOM_COLORING Make a SOM-based coloring for given data/map. % % Col = som_coloring(sM,[ncol],[chaingap],[dw]) % % Col = som_coloring(sM,5); % som_show(sM,'color',Col); % % Input and output arguments ([]'s are optional): % sM (struct) map or data struct % (matrix) data matrix % [ncol] (scalar) number of colors to use % [chaingap] (scalar) size of gap in the color circle (see below), % 0.1 by default % [dw] (scalar) 1 = use input space distances to stretch % the color circle (default) % 0 = don't use % % Col (matrix) color for each data/codebook vector % % This function trains a 1-dimensional SOM using the input data % (codebook of a SOM, or a set of data vectors). A color from the % color circle (see HSV function) is associated with each map unit, % and each data/codebook vector of the input data picks its color % from its BMU on the 1-dimensional SOM. % % If the chaingap argument == 0, the 1-dimensional map has a cylinder % (in effect, a ring) topology. Otherwise, the topology is rectangular % (in effect, a chain). % % The colors are mapped to the 1-dimensional SOM simply by picking colors % from the color circle. If chaingap>0, a slice of the color circle is % removed before map units pick their colors from it. This creates a % discontiuity in the coloring at the ends of the 1-dimensional SOM. % % If the dw argument == 0, the colors are picked from the color circle % equidistantly. If not, the distances between the prototype vectors % in the 1-dimensional SOM are taken into account. % % See also SOM_KMEANSCOLOR, SOM_KMEANSCOLOR2, SOM_FUZZYCOLOR. % Contributed to SOM Toolbox 2.0, December 21st, 2001 by Juha Vesanto % http://www.cis.hut.fi/projects/somtoolbox/ % Version 2.0beta juuso 211201 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% if isstruct(sM), if strcmp(sM.type,'som_map'), ismap = 1; D = sM.codebook; else ismap = 0; D = sM.data; end else ismap = 0; D = sM; end if nargin<2 | isempty(ncol) | isnan(ncol), ncol = min(64,size(D,1)); end if nargin<3 | isempty(chaingap) | isnan(chaingap), chaingap = 0.1; end if nargin<4 | isempty(dw) | isnan(dw), dw = 1; end if chaingap == 0, lattice = 'sheet'; else lattice = 'cyl'; end sMring = som_make(D,'msize',[1,ncol],lattice,'tracking',0); b = som_bmus(sMring,D); Colmap = hsv(ceil(ncol*(1+chaingap))); Colmap = Colmap(1:ncol,:); if dw, % take distances in input space into account dist = sqrt(sum((sMring.codebook-sMring.codebook([2:end 1],:)).^2,2)); ind = round([0; cumsum(dist)/sum(dist)]*(ncol-1)) + 1; Colmap = Colmap(ind,:); end Col = Colmap(b,:); return; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % visualization if ismap, a = som_bmus(sM.codebook,sMring.codebook); if chaingap==0, a(end+1) = a(1); end som_show(sM,'color',Col); som_show_add('traj',a) else i = find(sum(isnan(D),2)==0); [P,V,me] = pcaproj(D(i,:),2); Pr = pcaproj(sMring.codebook,V,me); a = som_bmus(D(i,:),sMring.codebook); % Pr = P(a,:); som_grid({'rect',[length(i) 1]},'line','none',... 'coord',P,'markercolor',Col(i,:)); hold on if chaingap==0, Pr(end+1,:) = Pr(1,:); end som_grid({'rect',[size(Pr,1) 1]},'linecolor','k',... 'linewidth',2,'markercolor','k','coord',Pr); end