$k$ -means as a variational EM approximation of Gaussian mixture models

16 April 2017

Papers citing "$k$-means as a variational EM approximation of Gaussian mixture models"

5 / 5 papers shown

Title
Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters Sebastian Salwig Till Kahlke F. Hirschberger D. Forster Jorg Lucke VLM 89 0 0 21 Jan 2025
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 34 2 0 13 Dec 2023
On the Convergence of the ELBO to Entropy Sums Jörg Lücke Jan Warnken 44 3 0 07 Sep 2022
A sampling-based approach for efficient clustering in large datasets Georgios Exarchakis Omar Oubari Gregor Lenz 25 5 0 29 Dec 2021
Sliced Wasserstein Distance for Learning Gaussian Mixture Models Soheil Kolouri Gustavo K. Rohde Heiko Hoffmann 16 121 0 15 Nov 2017