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.
Original language | English (US) |
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Title of host publication | Proceedings of the 29th International Conference on Machine Learning, ICML 2012 |
Pages | 1527-1534 |
Number of pages | 8 |
Volume | 2 |
State | Published - 2012 |
Externally published | Yes |
Event | 29th International Conference on Machine Learning, ICML 2012 - Edinburgh, United Kingdom Duration: Jun 26 2012 → Jul 1 2012 |
Other
Other | 29th International Conference on Machine Learning, ICML 2012 |
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Country/Territory | United Kingdom |
City | Edinburgh |
Period | 6/26/12 → 7/1/12 |
ASJC Scopus subject areas
- Human-Computer Interaction
- Education