You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Alex (JIRA)" <ji...@apache.org> on 2015/06/08 20:24:00 UTC
[jira] [Commented] (SPARK-2344) Add Fuzzy C-Means algorithm to
MLlib
[ https://issues.apache.org/jira/browse/SPARK-2344?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14577599#comment-14577599 ]
Alex commented on SPARK-2344:
-----------------------------
Hi guys,
What is the status of this issue?
Beniamino - are you planning to submit you version of the algorithm?
> 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