You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@mahout.apache.org by "Dmitriy Lyubimov (JIRA)" <ji...@apache.org> on 2015/06/18 21:51:06 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 ]
Dmitriy Lyubimov updated MAHOUT-1698:
-------------------------------------
Assignee: Suneel Marthi
> 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
> Priority: Critical
>
> 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)