Resources for principal components analysis and dimension reduction

Resources for learning principal components analysis and dimension reduction

Author

Affiliation

Hause Lin

 

Published

Aug. 7, 2019

Citation

Lin, 2019

Table of Contents


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Explanations

Nice visualizations and illustrations

Tutorials with code

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Footnotes

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    Reuse

    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}
    }