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From "Alex (JIRA)" <>
Subject [jira] [Commented] (SPARK-2344) Add Fuzzy C-Means algorithm to MLlib
Date Sat, 07 Mar 2015 15:24:38 GMT


Alex commented on SPARK-2344:

How are you doing? I went over you implementation and it looks good. As I
understood, you don't use the membership matrix, but instead you calculate
the value on the fly, is that correct?

It seems that you're pretty much finished with the FCM - what is left?
Where can I contribute?


> Add Fuzzy C-Means algorithm to MLlib
> ------------------------------------
>                 Key: SPARK-2344
>                 URL:
>             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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