New to AutoModel, trying to use Clustering

tonyboy9tonyboy9 Member Posts: 110 Contributor II
edited August 2020 in Help
I see both k-means and x-means on my screen shot. How do I play around with k-Means and x-Means? After I click on run, how will I know if there is an optimal number for k?

Best Answer


  • jacobcybulskijacobcybulski Member, University Professor Posts: 391 Unicorn
    edited August 2020
    Auto Model in general does not optimise k-Means, you need to specify the number of clusters (the screen you have attached shows the field to enter k). x-Means automatically selects the best k within a range, which in you case (default) is between 2 and 20. You can see what was the selected number of clusters by checking x-Means summary report. Before running clustering you may also request automatic feature selection, which is likely to improve clustering by removing highly correlated / linearly dependent attributes (it takes some time to do so on large data sets). In general, you'd be better off doing data pre-processing yourself, e.g. selecting independent attributes and normalising them before k-Means. Jacob
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