You are viewing a plain text version of this content. The canonical link for it is here.

Posted to dev@mahout.apache.org by "Suneel Marthi (JIRA)" <ji...@apache.org> on 2016/04/12 22:16:25 UTC

[jira] [Updated] (MAHOUT-1698) Streaming K-means and Fuzzy K-means to output clusteredPoints

     [ https://issues.apache.org/jira/browse/MAHOUT-1698?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Suneel Marthi updated MAHOUT-1698:
----------------------------------
    Priority: Major  (was: Critical)

> Streaming K-means and Fuzzy K-means to output clusteredPoints
> -------------------------------------------------------------
>
>                 Key: MAHOUT-1698
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1698
>             Project: Mahout
>          Issue Type: Improvement
>          Components: Clustering
>    Affects Versions: 0.10.0
>            Reporter: Sujit Thumma
>            Assignee: Suneel Marthi
>
> Similar to K-Means algorithm is there a way streaming K-means and Fuzzy K-means output clustered points in map-reduce? This can be useful to map document with cluster ID.  As of now only K-means can output clustered points and streaming k-means just outputs centroids.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)