The chiPower transformation: a valid alternative to logratio transformations in compositional data analysis

DOI10.1007/S11634-024-00600-XMaRDI QIDQ6653088

Michael J. Greenacre

Publication date: 16 December 2024

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

zbMATH Keywords

isometrycorrespondence analysisBox-Cox transformationchi-square distancetuning parameterprocrustes analysissubcompositional coherencelogratios

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Improved classification for compositional data using the \(\alpha\)-transformation
• Power transformations in correspondence analysis
• Variable selection in compositional data analysis using pairwise logratios
• Biplots of Compositional Data
• Procrustes Problems
• Compositional Data Analysis in Practice
• Three approaches to supervised learning for compositional data with pairwise logratios
• Power transformations of relative count data as a shrinkage problem
• Aitchison's compositional data analysis 40 years on: a reappraisal
• The Elements of Statistical Learning

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