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function [model,test]=kenstone(X,k)
tic
[m,n]=size(X);
if k>=m | k<=0
h=errordlg('Wrongly specified number of objects to be selected to model set.','Error');
model=[];
if nargout==2
test=[];
end
waitfor(h)
return
end
x=[[1:size(X,1)]' X];
n=size(x,2);
[i1,ind1]=min(fastdist(mean(x(:,2:n)),x(:,2:n)));
model(1)=x(ind1,1);
x(ind1, =[];
[i2,ind2]=max(fastdist(X(model(1), ,x(:,2:n)));
model(2)=x(ind2,1);
x(ind2, =[];
%h=waitbar(0,'Please wait ...');
%h=waitbar(0/k,h);
for d=3:k
[ii,ww]=max(min(fastdist(x(:,2:n),X(model, )));
model(d)=x(ww,1);
x(ww, =[];
% h=waitbar(d/k,h);
end
if nargout==2
test=1:size(X,1);
test(model)=[];
end
%close(h);
toc
function D=fastdist(x,y)
% Calculated Euclideam distances between two sets of objetcs
D=((sum(y'.^2))'*ones(1,size(x,1)))+(ones(size(y,1),1)*(sum(x'.^2)))-2*(y*x'); |
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