introduction with k-means in matlab

Hi,

I just theoretically read k-means and did an example..

I had 4, 2d items with their coordinates value, and initially k=2

like

• item variables
• A (5,3)
• B (-1,1)
• C (1,-2)
• D (-3,-2)

I calculated their centroids and then by measuring euclidean dist among arbitrary cluster and centroids, after calculation I got two cluster (A) and (B,C,D)

I am looking at matlab and found kmeans function but how I could implement the following example in matlab, I got messed up..

any hints for first time concept to implement kmeans using matlab using the following example.

[the cyclist]

Do you mean that you have done it by hand, and you are not sure how to do the same thing with MATLAB?

Answer 1

[the cyclist]

Is this what you want?

The output does show the two clusters you mention.

X = [ 5  3;
     -1  1;
      1 -2;
     -3 -2];

clusterNumber = kmeans(X,2)