'Radial basis function approximation' presentation slideshows

Radial basis function approximation

Radial basis function approximation. K-mean Algorithm. function y=my_kmeans(X,M) mx =mean(X); Y=rand(M,2)*0.1-0.05+mx; change =1; wh ile change < 10.^-6 D = cross_distances(X,Y) [xx ind]=min(D'); for i=1:K ind2=find(ind == i); Y_new(i,:) = mean( X( ind2,:));

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Approximation of heavy models using Radial Basis Functions

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