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.pdf > > 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. > >
