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Alex commented on SPARK-2344: ----------------------------- Hi, 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? Alex > 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org