% Show how several one-class classifiers can be combined.% To make the classifier outputs comparable, the outputs should be% normalized using dd_normc% Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org% Faculty EWI, Delft University of Technology% P.O. Box 5031, 2600 GA Delft, The Netherlands% Make some datax = target_class(gendatb([60 60]),'1');% Train the three classifiers:w0 = pca_dd(x,0.1,1)*dd_normc;w1 = mog_dd(x,0.1,2)*dd_normc;w2 = kmeans_dd(x,0.1,10)*dd_normc;% Combine the classifiers:W0 = [w0 w1 w2]*meanc;W1 = [w0 w1 w2]*prodc;W2 = [w0 w1 w2]*minc;% Show the results:figure(1); clf;s = scatterd(x);axis equal;h0 = plotc(w0,'k');hold on;h1 = plotc(w1,'k');hold on;h2 = plotc(w2,'k');hold on;H0 = plotc(W0,'g');hold on;H0 = plotc(W1,'r');hold on;H0 = plotc(W2,'b');