Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
PDF Tools
Image Tools
Text Tools
OCR Tools
Symbol and Emoji Tools
On-screen Keyboard
Latex Math Equation to Image
Smart IPA Phonetic Keyboard
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
56
search results - page 12 / 12
»
Semi-supervised Learning by Entropy Minimization
Sort
relevance
views
votes
recent
update
View
thumb
title
125
click to vote
SDM
2004
SIAM
212
views
Data Mining
»
more
SDM 2004
»
Clustering with Bregman Divergences
15 years 4 months ago
Download
jmlr.csail.mit.edu
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
claim paper
Read More »
« Prev
« First
page 12 / 12
Last »
Next »