I want to make 4 clusters using k mean clustering and for each of the 4 clusters i want to set centroid initially and then accordingly make the cluster. how can I.

X3=[-6.189; -3.251; 2.926; 6.534; 10.79; 5.203; -4.465; 1.42; -8.66; -0.8748; 6.534 ; 11.251] ;

Y3=[ 1.393; 10.42; 6.639; 5.821; 8.425; 2.924; 1.139; 0.7508; -7.917; -6.928; -10.01; -7.03; 5.639];

X3 and Y3 are my corrdinates of data.

I want 4 clusters whose centroid would be (x_b,y_b)

x_b=[0.7298; 3; -5.23; 11.86];

y_b=[12.48; -1.497; -6.139; -3.23];

how can i do this..?

Answer 1

[KSSV]

X3=[-6.189; -3.251; 2.926; 6.534; 10.79; 5.203; -4.465; 1.42; -8.66; -0.8748; 6.534 ; 11.251] ;
Y3=[ 1.393; 10.42; 6.639; 5.821; 8.425; 2.924; 1.139; 0.7508; -7.917; -6.928; -10.01; -7.03; ];
x_b=[0.7298; 3; -5.23; 11.86]; 
y_b=[12.48; -1.497; -6.139; -3.23]; 

P = [X3 Y3] ;   % points 
G = 4 ;   % number of groups 
C = [x_b y_b] ;  % centroids 

idx = kmeans(P,G,'MaxIter',10,'Start',C);
gscatter(P(:,1),P(:,2),idx)