I just posted MAHOUT-6 which has my wish list for a matrix package. I am about to add a suggested interface and abstract class structure.
On 2/21/08 7:14 PM, "Jeff Eastman" <[EMAIL PROTECTED]> wrote: > 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.
