Principal component analysis with interval imputed missing values

DOI10.1007/s10182-011-0164-3zbMath1443.62178OpenAlexW2071020221MaRDI QIDQ1633223

Paola Zuccolotto

Publication date: 19 December 2018

Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10182-011-0164-3

zbMATH Keywords

principal component analysisinterval datasymbolic data analysismissing values

Mathematics Subject Classification ID

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

Related Items (2)

Data generation processes and statistical management of interval data ⋮ Symbolic missing data imputation in principal component analysis

Uses Software

• SODAS
• RegEM

Cites Work

• Principal component analysis on interval data
• How many principal components? Stopping rules for determining the number of non-trivial axes revisited
• Handling missing data by deleting completely observed records
• Vertex method for computing functions of fuzzy variables
• Principal component analysis of interval data: a symbolic data analysis approach
• Principal component analysis.
• Some necessary conditions for common-factor analysis
• Fully conditional specification in multivariate imputation
• Probabilistic Principal Component Analysis
• Symbolic missing data imputation in principal component analysis
• Symbolic Data Analysis and the SODAS Software
• Analysis of symbolic data. Exploratory methods for extracting statistical information from complex data
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