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