Slide 34
Slide 34 text
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Intro
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Asymptotic Analysis of Bregman Quantization
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Experiments
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Conclusion References
References I
Arindam Banerjee, Srujana Merugu, Inderjit S Dhillon, Joydeep Ghosh, and John Lafferty.
Clustering with bregman divergences. Journal of machine learning research, 6(10), 2005.
Siegfried Graf and Harald Luschgy. Foundations of quantization for probability
distributions. Springer, 2007.
Ke Jiang, Brian Kulis, and Michael Jordan. Small-variance asymptotics for exponential
family dirichlet process mixture models. Advances in Neural Information Processing
Systems, 25, 2012.
Chaoyue Liu and Mikhail Belkin. Clustering with bregman divergences: an asymptotic
analysis. Advances in Neural Information Processing Systems, 29, 2016.
Richard Nock, Panu Luosto, and Jyrki Kivinen. Mixed bregman clustering with
approximation guarantees. In Machine Learning and Knowledge Discovery in Databases:
European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008,
Proceedings, Part II 19, pages 154–169. Springer, 2008.
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