Principal axes analysis of symbolic histogram variables

DOI10.1002/sam.11270OpenAlexW2153591306MaRDI QIDQ4970192

Sun Makosso-Kallyth

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.11270

zbMATH Keywords

quantilesprincipal component analysis (PCA)symbolic histogram variablesymbolic interval variables

Mathematics Subject Classification ID

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

Uses Software

• SODAS
• FactoMineR
• RSDA
• GraphPCA

Cites Work

• Basic statistics for distributional symbolic variables: a new metric-based approach
• Adaptation of interval PCA to symbolic histogram variables
• Principal component analysis for probabilistic symbolic data: a more generic and accurate algorithm
• Combined estimators for the correlation coefficient
• Symbolic Data Analysis
• On Choosing and Bounding Probability Metrics
• Far beyond the classical data models: symbolic data analysis
• Principal component analysis for interval‐valued observations
• Principal component analysis for bar charts and metabins tables
• Symbolic Data Analysis and the SODAS Software
• Analysis of symbolic data. Exploratory methods for extracting statistical information from complex data
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