pca_test

Basic implementation of Principal Component Analysis on a step-by-step process.

https://github.com/creanero/pca_test

Science Score: 44.0%

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    Found CITATION.cff file
  • codemeta.json file
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    Found .zenodo.json file
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  • Scientific vocabulary similarity
    Low similarity (2.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic implementation of Principal Component Analysis on a step-by-step process.

Basic Info
  • Host: GitHub
  • Owner: creanero
  • Language: Python
  • Default Branch: master
  • Size: 5.86 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme Citation

README.md

Principal Component Analysis Demonstration

Basic implementation of Principal Component Analysis on a step-by-step process.

There are many better, more efficient implementations of PCA out there. This one is designed to allow students to go through it step-by-step and see the processes involved, rather than being optimised for speed and efficiency

Owner

  • Name: Oisín Creaner
  • Login: creanero
  • Kind: user
  • Location: Dublin
  • Company: Dublin Institute for Advanced Studies

I am a postdoctoral researcher and software developer at Dublin Institute for Advanced Studies. Previous account @creaneroDIAS now merged

Citation (Citation.cff)

cff-version: 1.2.0
message: "Please cite this repo as below."
authors:
- family-names: "Creaner"
  given-names: "Oisin"
  orcid: "https://orcid.org/0000-0002-1080-0090"

title: "Principal Component Analysis Demo code"
version: 0
date-released: 2023-11-02
url: "https://github.com/creanero/pca_test"

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