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A sampling-based approach for efficient clustering in large datasets

A sampling-based approach for efficient clustering in large datasets

29 December 2021
Georgios Exarchakis
Omar Oubari
Gregor Lenz
ArXivPDFHTML

Papers citing "A sampling-based approach for efficient clustering in large datasets"

4 / 4 papers shown
Title
Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters
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
Settling Time vs. Accuracy Tradeoffs for Clustering Big Data
Settling Time vs. Accuracy Tradeoffs for Clustering Big Data
Andrew Draganov
David Saulpic
Chris Schwiegelshohn
22
5
0
02 Apr 2024
Big Learning Expectation Maximization
Big Learning Expectation Maximization
Yulai Cong
Sijia Li
33
1
0
19 Dec 2023
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
33
3
0
27 Nov 2020
1