Finding Relevant Linear Manifolds in Classification by Gaussian Mixtures

DOI10.1080/03610920802065073zbMath1292.62095OpenAlexW2064782322MaRDI QIDQ5494949

Cinzia Viroli, Daniela G. Calò

Publication date: 30 July 2014

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920802065073

zbMATH Keywords

dimension reductionGaussian mixture modelsBayes errorexpected likelihood kernel

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• ElemStatLearn

Cites Work

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• Independent factor discriminant analysis
• Projection pursuit
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• The elements of statistical learning. Data mining, inference, and prediction

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