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From "Alex (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-2344) Add Fuzzy C-Means algorithm to MLlib
Date Fri, 13 Mar 2015 16:13:38 GMT

    [ https://issues.apache.org/jira/browse/SPARK-2344?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14360560#comment-14360560
] 

Alex commented on SPARK-2344:
-----------------------------

I see, actually I was counting to make the implementation of this algorithm
because it is a big part of my final project....

Maybe I can add an improvement of FCM such as
http://www.csee.usf.edu/~manohar/Papers/Pancreas/Improving%20FCM%20learning%20based%20on%20feature%20weight%20learning.pdf

what do you think?
‚Äč


> 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
>              Labels: clustering
>   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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