Anderson relaxation test for intrinsic dimension selection in model-based clustering-Reference-Cited by-同舟云学术

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Anderson relaxation test for intrinsic dimension selection in model-based clustering

Published:2022-04-30 Issue:16 Volume:92 Page:3468-3487
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Kim Nam-Hwui¹^ORCID,Browne Ryan P.¹

Affiliation:

1. Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2022.2069769

Reference48 articles.

1. High-dimensional data clustering

2. Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions

3. Subspace clustering for the finite mixture of generalized hyperbolic distributions

4. Ghahramani Z, Hinton GE. The em algorithm for mixtures of factor analyzers. Technical Report CRG-TR-96-1, University of Toronto; 1997.

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