Agglomerative Bregman Clustering
Abstract
This manuscript develops the theory of agglomerative clustering with Bregman divergences. Geometric smoothing techniques are developed to deal with degenerate clusters. To allow for cluster models based on exponential families with overcomplete representations, Bregman divergences are developed for nondifferentiable convex functions.
Cite
Text
Telgarsky and Dasgupta. "Agglomerative Bregman Clustering." International Conference on Machine Learning, 2012.Markdown
[Telgarsky and Dasgupta. "Agglomerative Bregman Clustering." International Conference on Machine Learning, 2012.](https://mlanthology.org/icml/2012/telgarsky2012icml-agglomerative/)BibTeX
@inproceedings{telgarsky2012icml-agglomerative,
title = {{Agglomerative Bregman Clustering}},
author = {Telgarsky, Matus and Dasgupta, Sanjoy},
booktitle = {International Conference on Machine Learning},
year = {2012},
url = {https://mlanthology.org/icml/2012/telgarsky2012icml-agglomerative/}
}