Practical Initialization of Recursive Mixture-Based Clustering for Non-negative Data

DOI10.1007/978-3-030-11292-9_34OpenAlexW2942153967MaRDI QIDQ5053648

Ivan Nagy, Evženie Suzdaleva

Publication date: 6 December 2022

Published in: Informatics in Control, Automation and Robotics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-11292-9_34

zbMATH Keywords

Bayesian estimationrecursive mixture estimationdifferent componentsmixture-based clusteringnon-negative data

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Model-based clustering based on sparse finite Gaussian mixtures
• Bayesian estimation of dynamic finite mixtures
• Initializing the EM algorithm in Gaussian mixture models with an unknown number of components
• Model-based clustering of high-dimensional data: a review
• Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures
• Clustering with the multivariate normal inverse Gaussian distribution
• Mixture-based clustering for the ordered stereotype model
• Algorithms and programs of dynamic mixture estimation. Unified approach to different types of components
• Improved initialisation of model-based clustering using Gaussian hierarchical partitions
• Theory and Use of the EM Algorithm
• A mixture of generalized hyperbolic distributions
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