🥳 RAPIDMINER 9.9 IS OUT!!! 🥳
The updates in 9.9 power advanced use cases and offer productivity enhancements for users who prefer to code.
How to extract distinct features of K-Means Cluster?
since I'm doing some cluster-analysis, I am mainly interested in the features of each cluster. How can each cluster be described by it's attributes?
When I think about a marketing-case, it's not enough to just cluster your customers. You also have to know how to treat each group, therefore you have to know what the main features are.
Is there a way to extract them from the K-Means algorithm or is there even a better approach to this?
Thanks in advance