How to use k means to make 30 clusters with circle around each cluster and mark the center?

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Meme
Meme 2014-5-27
If I have a code which draws a circle and generates 100 random points inside it. I want to use k means to cluster these 100 points into 30 clusters with a circle around each cluster to differentiate between the clusters and i want to mark the center if each cluster.this is the code of the circle and the 100 random points inside it . Any help please ?
%// Set parameters
R =250; %// radius
C = [0 0]; %// center [x y]
N = 100; %// number of points inside circle
%// generate circle boundary
t = linspace(0, 2*pi,100);
x = R*cos(t) + C(1);
y = R*sin(t) + C(2);
%// generate random points inside it
th = 2*pi*rand(N,1);
r = R*randnlimit(0, 1, 0.5, 1, [N 1]);
xR = r.*cos(th) + C(1);
yR = r.*sin(th) + C(2);
%// Plot everything
figure(1), clf, hold on
% subplot(1,N0,1);
plot(x,y,'b');
hold on
text(0,0,'C')
plot(xR,yR,'p')
axis equal
zR=cell(N,1);
for i=1:N
zR{i,1}= [xR(i) yR(i)];
end
m=cell2mat(zR);

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