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Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and $k$-means
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Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and kk-means

D. Forster
Jörg Lücke
ArXiv (abs)PDFHTML

Papers citing "Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and $k$-means"

4 / 4 papers shown
Title
A sampling-based approach for efficient clustering in large datasets
A sampling-based approach for efficient clustering in large datasets
Georgios Exarchakis
Omar Oubari
Gregor Lenz
51
5
0
29 Dec 2021
Fitting large mixture models using stochastic component selection
Fitting large mixture models using stochastic component selection
Milan Papez
Tomás Pevný
Václav Smídl
33
0
0
10 Oct 2021
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents
E. Guiraud
Jakob Drefs
Jörg Lücke
DRL
83
3
0
27 Nov 2020
Large Scale Clustering with Variational EM for Gaussian Mixture Models
Large Scale Clustering with Variational EM for Gaussian Mixture Models
F. Hirschberger
D. Forster
Jörg Lücke
VLM
99
13
0
01 Oct 2018