Principal component analysis for probabilistic symbolic data: a more generic and accurate algorithm

DOI10.1007/s11634-014-0178-2zbMath1414.62012OpenAlexW1966577981MaRDI QIDQ2418386

Meiling Chen, Zhongfeng Qin, Hui-Wen Wang

Publication date: 3 June 2019

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

Full work available at URL: https://doi.org/10.1007/s11634-014-0178-2

zbMATH Keywords

principal component analysischaracteristic functionsymbolic dataprobabilistic symbolic data

Mathematics Subject Classification ID

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

Related Items (1)

Principal axes analysis of symbolic histogram variables

Uses Software

• SODAS

Cites Work

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• Symbolic Data Analysis
• The quantile method for symbolic principal component analysis
• Principal component analysis for interval‐valued observations
• Generalized Minkowski metrics for mixed feature-type data 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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