[jira] [Comment Edited] (SPARK-2344) Add Fuzzy C-Means algorithm to MLlib

["Yu Ishikawa (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-2344?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14110268#comment-14110268 ] 

Yu Ishikawa edited comment on SPARK-2344 at 8/26/14 5:15 AM:
-------------------------------------------------------------

HI Alex, 

It seems that fuzzy c-means algorithm has not been merged into Spark yet.
I am implementing that algorithm and create a base class for k-means and FCM.
Would you please assign this issue to me.


was (Author: yuu.ishikawa@gmail.com):
HI Alex, 

It seems that fuzzy c-means algorithm has been merged into Spark yet.
I am implementing that algorithm and create a base class for k-means and FCM.
Would you please assign this issue to me.

> Add Fuzzy C-Means algorithm to MLlib
> ------------------------------------
>
>                 Key: SPARK-2344
>                 URL: https://issues.apache.org/jira/browse/SPARK-2344
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Alex
>            Priority: Minor
>   Original Estimate: 1m
>  Remaining Estimate: 1m
>
> I would like to add a FCM (Fuzzy C-Means) algorithm to MLlib.
> FCM is very similar to K - Means which is already implemented, and they differ only in the degree of relationship each point has with each cluster:
> (in FCM the relationship is in a range of [0..1] whether in K - Means its 0/1.
> As part of the implementation I would like:
> - create a base class for K- Means and FCM
> - implement the relationship for each algorithm differently (in its class)
> I'd like this to be assigned to me.



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