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Posted to dev@mahout.apache.org by "Yexi (JIRA)" <ji...@apache.org> on 2013/05/07 20:47:18 UTC

[jira] [Created] (MAHOUT-1206) Add density-based clustering algorithms to mahout

Yexi created MAHOUT-1206:
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             Summary: Add density-based clustering algorithms to mahout
                 Key: MAHOUT-1206
                 URL: https://issues.apache.org/jira/browse/MAHOUT-1206
             Project: Mahout
          Issue Type: Improvement
            Reporter: Yexi


The clustering algorithms (kmeans, fuzzy kmeans, dirichlet clustering, and spectral cluster) clustering data by assuming that the data can be clustered into the regular hyper sphere or ellipsoid. However, in practical, not all the data can be clustered in this way. 

To enable the data to be clustered in arbitrary shapes, clustering algorithms like DBSCAN, BIRCH, CLARANCE (http://en.wikipedia.org/wiki/Cluster_analysis#Density-based_clustering) are proposed.

It is better that we can implement one or some of these clustering algorithm to enrich the clustering library. 




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