Hi Matt, No problem, the more I study the papers the less convinced I am that this is an instance of mean shift. It is something related but at this point I don't know how to categorize it.
I hope your job hunting is going well, Jeff > -----Original Message----- > From: Matthew Riley [mailto:[EMAIL PROTECTED] > Sent: Thursday, March 13, 2008 12:24 AM > To: [email protected] > Subject: Re: [jira] Updated: (MAHOUT-15) Investigate Mean Shift Clustering > > Hey Jeff- > > Sorry I've been so quiet on this stuff lately -- I've been traveling for > job > interviews. I haven't had a chance to look through your code thoroughly, > but > I'm hoping to get to it by the weekend. Will get back to you soon... > > Matt > > On Wed, Mar 12, 2008 at 3:10 PM, Jeff Eastman (JIRA) <[EMAIL PROTECTED]> > wrote: > > > > > [ > > https://issues.apache.org/jira/browse/MAHOUT- > 15?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel] > > > > Jeff Eastman updated MAHOUT-15: > > ------------------------------- > > > > Attachment: MAHOUT-15b.patch > > > > I noticed that the mergeCanopy method was only adding the new canopy > > center to the existing canopies, but not adding the existing canopy > centers > > to itself. This produced an assymetry defect that, I think, also exists > in > > canopy clustering and kmeans. Correcting this problem leads the > algorithm to > > now converge exactly upon the input image after 40-odd iterations: > > > > ABBBBBBBBB > > BABBBBBBBB > > BBABBBBBBB > > BBBABBBBBB > > BBBBABBBBB > > BBBBBABBBB > > BBBBBBABBB > > BBBBBBBABB > > BBBBBBBBAB > > BBBBBBBBBA > > > > > Investigate Mean Shift Clustering > > > --------------------------------- > > > > > > Key: MAHOUT-15 > > > URL: https://issues.apache.org/jira/browse/MAHOUT-15 > > > Project: Mahout > > > Issue Type: New Feature > > > Components: Clustering > > > Reporter: Jeff Eastman > > > Assignee: Jeff Eastman > > > Attachments: MAHOUT-15a.patch, MAHOUT-15b.patch > > > > > > > > > "The mean shift algorithm is a nonparametric clustering technique > which > > does not require prior knowledge of the number of clusters, and does not > > constrain the shape of the clusters." > > > http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/TUZEL1/MeanShift.p > df > > > Investigate implementing mean shift clustering using Hadoop > > > > -- > > This message is automatically generated by JIRA. > > - > > You can reply to this email to add a comment to the issue online. > > > >
