Adaptation of interval PCA to symbolic histogram variables

DOI10.1007/s11634-012-0108-0zbMath1255.62173OpenAlexW1990989764MaRDI QIDQ150924

Sun Makosso-Kallyth, Edwin Diday, Edwin Diday, Sun Makosso-Kallyth

Publication date: 27 April 2012

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

Full work available at URL: https://doi.org/10.1007/s11634-012-0108-0

zbMATH Keywords

hypercubeangular transformationprocrustean analysissymbolic histogram variableTchebychev inequality

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25)

Related Items

Principal axes analysis of symbolic histogram variables, Principal component analysis for histogram-valued data, Principal component analysis for probabilistic symbolic data: a more generic and accurate algorithm, Principal component analysis: a review and recent developments, GraphPCA

Uses Software

• SODAS
• CRAN
• ade4
• FactoMineR

Cites Work

• Unnamed Item
• Generalized Procrustes analysis
• Symbolic Data Analysis
• Symbolic Data Analysis and the SODAS Software
• Analysis of symbolic data. Exploratory methods for extracting statistical information from complex data