Dimension reduction big data using recognition of data features based on copula function and principal component analysis

DOI10.1155/2021/9967368zbMath1477.62122OpenAlexW3180631549MaRDI QIDQ2244335

Fazel Badakhshan Farahabadi, Kianoush Fathi Vajargah, Rahman Farnoosh

Publication date: 12 November 2021

Published in: Advances in Mathematical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2021/9967368

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Statistical aspects of big data and data science (62R07)

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Cites Work

• A topological proof of Sklar's theorem
• Hypothesis tests for principal component analysis when variables are standardized
• Principal component analysis: a review and recent developments
• Efficient L1-Norm Principal-Component Analysis via Bit Flipping
• On Consistency and Sparsity for Principal Components Analysis in High Dimensions

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