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

["Yexi Jiang (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-1206?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13672147#comment-13672147 ] 

Yexi Jiang commented on MAHOUT-1206:
------------------------------------

Still there is no comments?
                
> 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 Jiang
>              Labels: clustering
>
> 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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