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GitHub Python


Principal Component Analysis

An implementation of PCA


Author

Marina Bermúdez Granados - nara-on


Project Structure

  .
  ├── datasets                       # Directory containing the different datsets
  ├── experiments                    # Directory containing all the main experiments
  ├── models                         # Directory containing the PCA implementations
  ├── utils                          # Directory containing different functionalities
  └── visuals                        
      ├── comparison                 # Directory for the results of the comparative experiments
      ├── reconstruction             # Directory for the results of the reconstructive experiments
      └── test                       # Directory for the results of the tests

Images


Comparison of Results in Kropt Dataset with 3 Components




Comparison of Results in Satimage Dataset with 18 Components



Version History

  • Update README.md
    • Improvements to README file
  • Upload code
    • Upload of all local code and results
  • Initial Commit
    • Initial Release

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An implementation of Principal Component Analysis (PCA)

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