Visualizing data through curvilinear representations of matrices

DOI10.1016/j.csda.2018.07.010zbMath1469.62139OpenAlexW2885637681MaRDI QIDQ1796955

Daniel K. Sewell

Publication date: 17 October 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.07.010

zbMATH Keywords

singular value decompositionFourier seriesAndrews curvesbasis splines

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25)

Uses Software

• UCI-ml
• ggplot2
• GGally
• t-SNE
• CASSATT

Cites Work

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• Parallel coordinates for exploratory modelling analysis
• Projection pursuit
• Self-organized formation of topologically correct feature maps
• Relationship-Based Clustering and Visualization for High-Dimensional Data Mining
• Robust principal component analysis?
• Dimension Reduction: A Guided Tour
• SYMMETRIC GAUGE FUNCTIONS AND UNITARILY INVARIANT NORMS
• Variations of Andrews' Plots
• Numerical Analysis for Statisticians
• Spline Functions in Data Analysis
• Andrews plots for multivariate data: Some new suggestions and applications

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