https://github.com/fabriziomusacchio/dimensionality_reduction
Code used in blog post about dimensionality reduction using Python
https://github.com/fabriziomusacchio/dimensionality_reduction
autoencoder dimensionality-reduction factor-analysis latent-space latent-variables pca
Last synced: 12 months ago
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Code used in blog post about dimensionality reduction using Python
- Host: GitHub
- URL: https://github.com/fabriziomusacchio/dimensionality_reduction
- Owner: FabrizioMusacchio
- Created: 2023-07-02T10:19:55.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2023-07-13T09:26:05.000Z (almost 3 years ago)
- Last Synced: 2025-03-02T04:43:40.498Z (over 1 year ago)
- Topics: autoencoder, dimensionality-reduction, factor-analysis, latent-space, latent-variables, pca
- Language: Python
- Homepage: https://www.fabriziomusacchio.com/blog/2023-06-16-pca_with_python/
- Size: 1.43 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Dimensionality Reduction
The repository contains the code for the following dimensionality reduction techniques:
- Principal Component Analysis (PCA)
- Factor Analysis (FA)
- Autoencoder (AE)
The methods and results are discussed in the following blog posts:
* [Untangling complexity: harnessing PCA for data dimensionality reduction](https://www.fabriziomusacchio.com/blog/2023-06-16-pca_with_python/)
* [Unlocking hidden patterns with Factor Analysis](https://www.fabriziomusacchio.com/blog/2023-06-16-factoranalysis_with_python/)
* [Using Autoencoders to reveal hidden structures in high-dimensional data](https://www.fabriziomusacchio.com/blog/2023-06-16-autoencoder_with_python/)