Resources for principal components analysis and dimension reduction

Resources for learning principal components analysis and dimension reduction

Hause Lin true
08-07-2019

Table of Contents


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Explanations

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Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/hauselin/rtutorialsite, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

Citation

For attribution, please cite this work as

Lin (2019, Aug. 7). Data science: Resources for principal components analysis and dimension reduction. Retrieved from https://hausetutorials.netlify.com/posts/2019-10-07-resources-for-principal-components-analysis/

BibTeX citation

@misc{lin2019resources,
  author = {Lin, Hause},
  title = {Data science: Resources for principal components analysis and dimension reduction},
  url = {https://hausetutorials.netlify.com/posts/2019-10-07-resources-for-principal-components-analysis/},
  year = {2019}
}