High-dimensional unsupervised classification via parsimonious contaminated mixtures
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
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2. Unsupervised Classification with a Family of Parsimonious Contaminated Shifted Asymmetric Laplace Mixtures;Journal of Classification;2024-01-06
3. Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions;Advances in Data Analysis and Classification;2023-09-27
4. Model-based clustering of functional data via mixtures of t distributions;Advances in Data Analysis and Classification;2023-05-12
5. Multivariate Contaminated Normal Censored Regression Model: Properties and Maximum Likelihood Inference;Journal of Computational and Graphical Statistics;2023-05-09
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