Great. Thanks Grant for the modifications.
-----Original Message-----
From: Grant Ingersoll (JIRA) [mailto:[EMAIL PROTECTED]
Sent: Thursday, August 21, 2008 7:09 PM
To: [email protected]
Subject: [jira] Updated: (MAHOUT-74) Fuzzy K-Means clustering
[
https://issues.apache.org/jira/browse/MAHOUT-74?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Grant Ingersoll updated MAHOUT-74:
----------------------------------
Attachment: MAHOUT-74.patch
Looking pretty good, Pallavi. I modified it slightly so that m is set just via
the JobConf like the other values. I think we are in pretty good shape and I
will commit soon. I also made m a float. Looking at the wiki link you have
there, I don't see any reason why m should be restricted to an int.
> Fuzzy K-Means clustering
> ------------------------
>
> Key: MAHOUT-74
> URL: https://issues.apache.org/jira/browse/MAHOUT-74
> Project: Mahout
> Issue Type: New Feature
> Components: Clustering
> Reporter: Pallavi Palleti
> Assignee: Grant Ingersoll
> Priority: Minor
> Fix For: 0.1
>
> Attachments: MAHOUT-74.patch, MAHOUT-74.patch, mahout-74.patch,
> mahout-74.patch
>
>
> Fuzzy KMeans clustering algorithm is an extension to traditional K Means
> clustering algorithm and performs soft clustering.
> More details about fuzzy k-means can be found here
> :http://en.wikipedia.org/wiki/Data_clustering#Fuzzy_c-means_clustering
> I have implemented fuzzy K-Means prototype and tests in
> org.apache.mahout.clustering.fuzzykmeans
--
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.
