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From "Stefano Dalla Palma (JIRA)" <j...@apache.org>
Subject [jira] [Created] (MAHOUT-2028) Silhoutte indexing for clustering evaluation
Date Sat, 18 Nov 2017 09:33:00 GMT
Stefano Dalla Palma created MAHOUT-2028:
-------------------------------------------

             Summary: Silhoutte indexing for clustering evaluation
                 Key: MAHOUT-2028
                 URL: https://issues.apache.org/jira/browse/MAHOUT-2028
             Project: Mahout
          Issue Type: Proposal
          Components: Algorithms, Clustering
    Affects Versions: 0.13.0, 0.14.0, 0.13.1, 0.13.2
            Reporter: Stefano Dalla Palma
            Priority: Minor


What about implementing clustering evaluation measure like Silhouette indexing? We could use
one or more of the currently implemented distance measures and some clustering algorithm,
like k-means, and start measuring the goodness of that clustering, i.e. with Silhouette in
this case.



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