Does this mean I have to stop now <grin>? Actually, I think the next logical step is to factor out all the Float[] stuff into Point in preparation for handling sparse data. But that begs the question of how we plan to handle matrices....
Jeff -----Original Message----- From: Grant Ingersoll (JIRA) [mailto:[EMAIL PROTECTED] Sent: Thursday, February 21, 2008 7:06 PM To: [email protected] Subject: [jira] Assigned: (MAHOUT-5) Implement a k-means clustering prototype [ https://issues.apache.org/jira/browse/MAHOUT-5?page=com.atlassian.jira.p lugin.system.issuetabpanels:all-tabpanel ] Grant Ingersoll reassigned MAHOUT-5: ------------------------------------ Assignee: Grant Ingersoll (was: Jeff Eastman) > Implement a k-means clustering prototype > ----------------------------------------- > > Key: MAHOUT-5 > URL: https://issues.apache.org/jira/browse/MAHOUT-5 > Project: Mahout > Issue Type: New Feature > Components: Clustering > Affects Versions: 0.1 > Reporter: Jeff Eastman > Assignee: Grant Ingersoll > Priority: Minor > Attachments: kmeans.zip, MAHOUT-5a.diff, MAHOUT-5b.diff, MAHOUT-5c.diff > > > K-means clustering is closely related to Canopy clustering and often uses canopies to determine the initial clusters. I'd like to implement a k-means prototype and tests in the package org.apache.mahout.clustering.kmeans. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
