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

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

     [ https://issues.apache.org/jira/browse/SPARK-2344?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Beniamino updated SPARK-2344:
-----------------------------
    Comment: was deleted

(was: Hi Alex,
Thank you for the link!!!

I've posted a working version of FCM at this link

https://github.com/bdelpizzo/Fuzzy-C-Means

but in my algorithm there isn't the "run" parameter such as the Mllib implementation of the KMeans..
)

> 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-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org