[jira] Updated: (MAHOUT-163) Get (better) cluster labels using Log Likelihood Ratio
[ https://issues.apache.org/jira/browse/MAHOUT-163?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shashikant Kore updated MAHOUT-163: --- Attachment: mahout-cluster-labels-llr.patch Pacth for getting top labels with LLR. > Get (better) cluster labels using Log Likelihood Ratio > -- > > Key: MAHOUT-163 > URL: https://issues.apache.org/jira/browse/MAHOUT-163 > Project: Mahout > Issue Type: Improvement >Reporter: Shashikant Kore > Attachments: mahout-cluster-labels-llr.patch > > > Log Likelihood Ratio (LLR) is a better technique to identify cluster labels > instead of the top features of the centroid vector. LLR finds terms/phrases > which are common in the cluster but rare outside. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
[jira] Updated: (MAHOUT-163) Get (better) cluster labels using Log Likelihood Ratio
[ https://issues.apache.org/jira/browse/MAHOUT-163?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Grant Ingersoll updated MAHOUT-163: --- Fix Version/s: 0.2 > Get (better) cluster labels using Log Likelihood Ratio > -- > > Key: MAHOUT-163 > URL: https://issues.apache.org/jira/browse/MAHOUT-163 > Project: Mahout > Issue Type: Improvement >Reporter: Shashikant Kore > Fix For: 0.2 > > Attachments: mahout-cluster-labels-llr.patch > > > Log Likelihood Ratio (LLR) is a better technique to identify cluster labels > instead of the top features of the centroid vector. LLR finds terms/phrases > which are common in the cluster but rare outside. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
[jira] Updated: (MAHOUT-163) Get (better) cluster labels using Log Likelihood Ratio
[ https://issues.apache.org/jira/browse/MAHOUT-163?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shashikant Kore updated MAHOUT-163: --- Attachment: mahout-163.patch Revised patch. > Get (better) cluster labels using Log Likelihood Ratio > -- > > Key: MAHOUT-163 > URL: https://issues.apache.org/jira/browse/MAHOUT-163 > Project: Mahout > Issue Type: Improvement >Reporter: Shashikant Kore > Fix For: 0.2 > > Attachments: mahout-163.patch, mahout-cluster-labels-llr.patch > > > Log Likelihood Ratio (LLR) is a better technique to identify cluster labels > instead of the top features of the centroid vector. LLR finds terms/phrases > which are common in the cluster but rare outside. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
[jira] Updated: (MAHOUT-163) Get (better) cluster labels using Log Likelihood Ratio
[ https://issues.apache.org/jira/browse/MAHOUT-163?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shashikant Kore updated MAHOUT-163: --- Attachment: MAHOUT-163.patch Revised patch updated to trunk. > Get (better) cluster labels using Log Likelihood Ratio > -- > > Key: MAHOUT-163 > URL: https://issues.apache.org/jira/browse/MAHOUT-163 > Project: Mahout > Issue Type: Improvement >Reporter: Shashikant Kore >Assignee: Grant Ingersoll > Fix For: 0.2 > > Attachments: MAHOUT-163.patch, mahout-163.patch, > mahout-cluster-labels-llr.patch > > > Log Likelihood Ratio (LLR) is a better technique to identify cluster labels > instead of the top features of the centroid vector. LLR finds terms/phrases > which are common in the cluster but rare outside. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
[jira] Updated: (MAHOUT-163) Get (better) cluster labels using Log Likelihood Ratio
[ https://issues.apache.org/jira/browse/MAHOUT-163?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Grant Ingersoll updated MAHOUT-163: --- Attachment: MAHOUT-163.patch Updates some of the Lucene code a wee bit. > Get (better) cluster labels using Log Likelihood Ratio > -- > > Key: MAHOUT-163 > URL: https://issues.apache.org/jira/browse/MAHOUT-163 > Project: Mahout > Issue Type: Improvement >Reporter: Shashikant Kore >Assignee: Grant Ingersoll > Fix For: 0.2 > > Attachments: MAHOUT-163.patch, MAHOUT-163.patch, mahout-163.patch, > mahout-cluster-labels-llr.patch > > > Log Likelihood Ratio (LLR) is a better technique to identify cluster labels > instead of the top features of the centroid vector. LLR finds terms/phrases > which are common in the cluster but rare outside. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
[jira] Updated: (MAHOUT-163) Get (better) cluster labels using Log Likelihood Ratio
[ https://issues.apache.org/jira/browse/MAHOUT-163?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shashikant Kore updated MAHOUT-163: --- Attachment: MAHOUT-163-17sep.patch Updated patch. Using bitset to find in-cluster DF instead of deleting the out-of-cluster documents from the index. Any failure will not affect the index. > Get (better) cluster labels using Log Likelihood Ratio > -- > > Key: MAHOUT-163 > URL: https://issues.apache.org/jira/browse/MAHOUT-163 > Project: Mahout > Issue Type: Improvement >Reporter: Shashikant Kore >Assignee: Grant Ingersoll > Fix For: 0.2 > > Attachments: MAHOUT-163-17sep.patch, MAHOUT-163.patch, > MAHOUT-163.patch, mahout-163.patch, mahout-cluster-labels-llr.patch > > > Log Likelihood Ratio (LLR) is a better technique to identify cluster labels > instead of the top features of the centroid vector. LLR finds terms/phrases > which are common in the cluster but rare outside. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
[jira] Updated: (MAHOUT-163) Get (better) cluster labels using Log Likelihood Ratio
[ https://issues.apache.org/jira/browse/MAHOUT-163?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Grant Ingersoll updated MAHOUT-163: --- Fix Version/s: (was: 0.2) 0.3 Moving to 0.3, I'd like to see this be a little bit more generic in terms of where the original vectors come from. In other words, I wonder if we can have a version that doesn't assume Lucene? Thus, I don't want to rush this in. > Get (better) cluster labels using Log Likelihood Ratio > -- > > Key: MAHOUT-163 > URL: https://issues.apache.org/jira/browse/MAHOUT-163 > Project: Mahout > Issue Type: Improvement >Reporter: Shashikant Kore >Assignee: Grant Ingersoll > Fix For: 0.3 > > Attachments: MAHOUT-163-17sep.patch, MAHOUT-163.patch, > MAHOUT-163.patch, mahout-163.patch, mahout-cluster-labels-llr.patch > > > Log Likelihood Ratio (LLR) is a better technique to identify cluster labels > instead of the top features of the centroid vector. LLR finds terms/phrases > which are common in the cluster but rare outside. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
[jira] Updated: (MAHOUT-163) Get (better) cluster labels using Log Likelihood Ratio
[ https://issues.apache.org/jira/browse/MAHOUT-163?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Grant Ingersoll updated MAHOUT-163: --- Attachment: MAHOUT-163.patch Cleans up some issues, adds license headers. Gives more parameters for controlling the number of labels output and the minimum number of ids in a cluster. > Get (better) cluster labels using Log Likelihood Ratio > -- > > Key: MAHOUT-163 > URL: https://issues.apache.org/jira/browse/MAHOUT-163 > Project: Mahout > Issue Type: Improvement >Reporter: Shashikant Kore >Assignee: Grant Ingersoll > Fix For: 0.3 > > Attachments: MAHOUT-163-17sep.patch, MAHOUT-163.patch, > MAHOUT-163.patch, MAHOUT-163.patch, mahout-163.patch, > mahout-cluster-labels-llr.patch > > > Log Likelihood Ratio (LLR) is a better technique to identify cluster labels > instead of the top features of the centroid vector. LLR finds terms/phrases > which are common in the cluster but rare outside. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
[jira] Updated: (MAHOUT-163) Get (better) cluster labels using Log Likelihood Ratio
[ https://issues.apache.org/jira/browse/MAHOUT-163?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Grant Ingersoll updated MAHOUT-163: --- Attachment: MAHOUT-163.patch a little more clean up. > Get (better) cluster labels using Log Likelihood Ratio > -- > > Key: MAHOUT-163 > URL: https://issues.apache.org/jira/browse/MAHOUT-163 > Project: Mahout > Issue Type: Improvement >Reporter: Shashikant Kore >Assignee: Grant Ingersoll > Fix For: 0.3 > > Attachments: MAHOUT-163-17sep.patch, MAHOUT-163.patch, > MAHOUT-163.patch, MAHOUT-163.patch, MAHOUT-163.patch, mahout-163.patch, > mahout-cluster-labels-llr.patch > > > Log Likelihood Ratio (LLR) is a better technique to identify cluster labels > instead of the top features of the centroid vector. LLR finds terms/phrases > which are common in the cluster but rare outside. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
