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Hello my fellow Alteryx Community members,
I need your help!
I'm attempting to use the K-Centroids Diagnostics output results w/ K-Centroid Cluster Analysis Tool. However, I don't know how to interpret the Diagnostic results (i.e. K-Means Cluster Assessment Report) and use them to perform the Cluster Analysis.
What I'm confused about...
By the way, I did read the Alteryx published 'K-Centroids Diagnostics Tool' overview but still trying to understand its use at the basic level.
Below are the Diagnostics output results (i.e. K-Means Cluster Assessment Report):
Thanks for your help in advance!
Respectfully,
Corey
Solved! Go to Solution.
Hi @CoreyS,
I would suggest also reviewing the Predictive Grouping interactive lessons in the Data Science Learning Path, specifically Clustering in Designer.
To answer your question, the K-Centroids Diagnostics tool can be used to determine the most appropriate number of clusters for your dataset. The interpretation of the report can be a little subjective but it helps you to narrow down the choices before configuring the number of clusters in the K-Centroids Cluster Analysis tool.
Hope this helps!
@IanWi thanks for the informative references. I'll definitely check out the "Data Science Learning Path/Clustering in Designer".
Respectfully,
Corey