Learning Bregman Distance Functions and its Application for Semi-Supervised Clustering
Learning distance functions with side information plays a key role in many machine learning and data mining applications. Conventional approaches often assume a Mahalanobis distance function. These approaches are limited in two aspects: (i) they are computationally expensive (even infeasible) for hi...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2009
|
| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/2368 https://ink.library.smu.edu.sg/context/sis_research/article/3368/viewcontent/NIPS09_Bregman_CR_jin.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Singapore Management University |
| Language: | English |