Stochastic approximation algorithm with randomization at the input for unsupervised parameters estimation of Gaussian mixture model with sparse parameters

DOI10.1134/S0005117919080034zbMath1435.62226OpenAlexW2967457152WikidataQ127356031 ScholiaQ127356031MaRDI QIDQ2289031

A. A. Boiarov, Oleg N. Granichin

Publication date: 28 January 2020

Published in: Automation and Remote Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s0005117919080034

zbMATH Keywords

clusteringstochastic approximationrandomizationunsupervised learningGaussian mixture model

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Robustness and adaptive procedures (parametric inference) (62F35) Stochastic approximation (62L20)

Uses Software

• apcluster
• APCluster
• clusfind
• PRMLT

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Clustering by Passing Messages Between Data Points
• Stochastic approximation search algorithms with randomization at the input
• Optimal order of accuracy of search algorithms in stochastic optimization
• Procedure of stochastic approximation with disturbances at the input
• A randomized stochastic approximation algorithm for self-learning
• Finding Groups in Data
• Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
• Least squares quantization in PCM
• Stochastic Estimation of the Maximum of a Regression Function
• A Stochastic Approximation Method
• Multidimensional Stochastic Approximation Methods
• Robust Statistics

This page was built for publication: Stochastic approximation algorithm with randomization at the input for unsupervised parameters estimation of Gaussian mixture model with sparse parameters