KMeans

Since every clustering algorithm is different, each one may return different results. We will compare the results of KMeans with DiagEM and Cho's classifications in the analysis section of this tutorial. Select 'KMeans' from the 'Clustering' menu and then change K from 2 to 5. Click 'Cluster' to begin clustering. The KMeans dialog should be similar to the one shown below.

Figure: Clustering|KMeans