Two‐way Gaussian mixture models for high dimensional classification

DOI10.1002/sam.10082OpenAlexW2130715462MaRDI QIDQ4969723

Mu Qiao, Jia Li

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.10082

zbMATH Keywords

dimension reductionhigh dimensional classificationmixture of Gaussian distributionstwo-way mixture modelvariable grouping

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Uses Software

• LIBSVM
• rda
• Bow

Cites Work

• Regularized linear discriminant analysis and its application in microarrays
• Two-way Poisson mixture models for simultaneous document classification and word clustering
• Wrappers for feature subset selection
• Class prediction by nearest shrunken centroids, with applications to DNA microarrays.
• A classification EM algorithm for clustering and two stochastic versions
• Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data
• Model-Based Gaussian and Non-Gaussian Clustering
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
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