statistics
principal component analysis
also: PCAOrdination seeking the axes that carry the most variance.
Classification
- statistics
Sources (18)
48 occurrences in the corpus
Show the 18 sources
- Applied Multivariate Statistics in R
- Ault, Nam Liao & Musolino, Principles of Data Science, OpenStax, 2025
- Computational statistics in data science
- Cook & Laa, Interactively Exploring High-Dimensional Data and Models in R, Chapman & Hall/CRC, 2026
- Fundamentals of computer graphics
- Handling and mapping geographic information
- Interactive data visualization: foundations, techniques, and applications
- Progressive Data Analysis: Roadmap and Research Agenda
- Stop Misusing t-SNE and UMAP for Visual Analytics
- The grammar of graphics
- The Oxford Handbook of Empirical Aesthetics
- Thematic Cartography and Geovisualization
- UMATO: Bridging Local and Global Structures for Reliable Visual Analytics With Dimensio...
- Visual strategies for biological data
- Visualization of Time-Oriented Data
- Visualize This
- Visualizing with text
- Wikipedia in English↗
Cite this entry
Stable addresshttps://dataviz.adrientaudiere.com/en-only/term/principal-component-analysis.html
ReferenceTaudière Adrien. 2026. principal component analysis. In Visualization Vocabulary, version 1.0.0. IdEst. https://dataviz.adrientaudiere.com/en-only/term/principal-component-analysis.html
BibTeX
@incollection{taudiere2026-principal-component-analysis,
author = {Taudière, Adrien},
title = {principal component analysis},
booktitle = {Visualization Vocabulary},
year = {2026},
version = {1.0.0},
publisher = {IdEst},
url = {https://dataviz.adrientaudiere.com/en-only/term/principal-component-analysis.html},
note = {CC0 1.0}
}Page created on 2026-10-13. Text last changed on 2026-10-14. Images last changed on 2026-11-09. Numbers computed on 2026-10-22.