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From Matt Hicks <m...@outr.com>
Subject K Means Clustering Explanation
Date Thu, 01 Mar 2018 19:53:47 GMT
I'm using K Means clustering for a project right now, and it's working very
well.  However, I'd like to determine from the clusters what information
distinctions define each cluster so I can explain the "reasons" data fits into a
specific cluster.
Is there a proper way to do this in Spark ML?
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