Principal component analysis


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Principal component analysis, often shortened PCA, is a simple method of linear dimensionality reduction.

It also has a non-linear variant called non-linear principal component analysis.

Useful links

  • https://en.wikipedia.org/wiki/Principal_component_analysis
  • https://online.stat.psu.edu/stat508/lessons/Lesson07

The following pages link here

Citation

If you find this work useful, please cite it as: 
@article{yaltirakli,
  title   = "Principal component analysis",
  author  = "Yaltirakli, Gokberk",
  journal = "gkbrk.com",
  year    = "2024",
  url     = "https://www.gkbrk.com/principal-component-analysis"
}
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IEEE Citation
Gokberk Yaltirakli, "Principal component analysis", December, 2024. [Online]. Available: https://www.gkbrk.com/principal-component-analysis. [Accessed Dec. 27, 2024].
APA Style
Yaltirakli, G. (2024, December 27). Principal component analysis. https://www.gkbrk.com/principal-component-analysis
Bluebook Style
Gokberk Yaltirakli, Principal component analysis, GKBRK.COM (Dec. 27, 2024), https://www.gkbrk.com/principal-component-analysis

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