Missing Values and Directional Outlier Detection in Model-Based Clustering-Reference-Cited by-同舟云学术

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Missing Values and Directional Outlier Detection in Model-Based Clustering

Published:2023-10-31 Issue: Volume: Page:
ISSN:0176-4268
Container-title:Journal of Classification
language:en
Short-container-title:J Classif

Author:

Tong Hung^ORCID,Tortora Cristina^ORCID

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Psychology (miscellaneous),Mathematics (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s00357-023-09450-2.pdf

Reference92 articles.

1. Aitken, A. (1926). A series formula for the roots of algebraic and transcendental equations. Proceedings of the Royal Society of Edinburgh, 45(1), 14–22.

2. Aitkin, M., & Wilson, G. T. (1980). Mixture models, outliers, and the EM algorithm. Technometrics, 22(3), 325–331.

3. Akaike, H. (1998). Information theory and an extension of the maximum likelihood principle. In: E. Parzen, K. Tanabe, & G. Kitagawa (Eds.), Selected Papers of Hirotugu Akaike (pp. 199–213). Springer New York, New York, NY

4. Akogul, S., & Erisoglu, M. (2016). A comparison of information criteria in clustering based on mixture of multivariate normal distributions. Mathematical and Computational Applications, 21(3), 34.

5. Andrews, J. L., & McNicholas, P. D. (2012). Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions. Statistics and Computing, 22(5), 1021–1029.

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