a question about CLUTO clustering vs. kmeans

Hi, all,

I'm trying to cluster the following dataset into two clusters:
[row col] = [10 2]

0.5 0.6
0.6 0.7
0.9 0.9
4.0 4.0
4.5 4.5
4.0 4.1
3.6 3.8
4.2 5.0
4.1 4.6
1.0 1.0

And CLUTO gives the result as:

1
1
0
0
0
0
0
1
1
0

If we plot the data, we can easily notice that the result should be as follows, which is the same result using kmeans method.

1
1
1
0
0
0
0
0
0
1

So how can I use CLUTO to achieve the same result with kmeans'?

Looking forward to your replies. Thanks a lot.

RE: Cluto's default similarity

Cluto's default similarity function is based on cosine and this is why the results do not look as you expected them to look. Try using the graph-based clustering with euclidean distance.