Bregman Divergencies, Triangle Inequality, and Maximum Likelihood Estimates for Normal Mixtures-Reference-Cited by-同舟云学术

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Bregman Divergencies, Triangle Inequality, and Maximum Likelihood Estimates for Normal Mixtures

Published:2022-08-31 Issue: Volume: Page:159-166
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Falkowski Bernd-Jürgen

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-16072-1_12

Reference14 articles.

1. Acharyya, S., Banerjee, A., Boley, D.: Bregman divergences and triangle inequality. In: Proceedings of the 2013 SIAM International Conference on Data Mining, Austin, US (2013)

2. Duda, R.O., Hart, P.F., Stork, D.G.: Pattern Classification. Wiley, Reprinted (2017)

3. Ehm, W., Genton, M., Gneitig, T.: Stationary covariances associated with exponentially convex functions. Bernoulli 9(4), 607–615 (2003)

4. Advances in Intelligent Systems and Computing;B-J Falkowski,2020

5. Falkowski, B.-J.: Maximum likelihood estimates and a kernel k-Means iterative algorithm for normal mixtures. In: USB Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 18-21 Oct 2020, Singapore (2020)

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