https://github.com/brudfors/logistic-pca-tipping

Python implementation of logistic PCA (M. Tipping, NeurIPS 1999).
https://github.com/brudfors/logistic-pca-tipping

clustering dimensionality-reduction logistic-pca pca unsupervised-learning

Last synced: 16 days ago
JSON representation

Python implementation of logistic PCA (M. Tipping, NeurIPS 1999).

• Host: GitHub
• URL: https://github.com/brudfors/logistic-pca-tipping
• Owner: brudfors
• License: mit
• Created: 2021-05-18T15:34:38.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-05-18T15:50:26.000Z (over 4 years ago)
• Last Synced: 2025-09-21T23:03:24.406Z (16 days ago)
• Topics: clustering, dimensionality-reduction, logistic-pca, pca, unsupervised-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 26.4 KB
• Stars: 9
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# logistic-PCA-tipping

This is a Python implementation of logistic PCA, as described in:

``` latex

@article{tipping1999probabilistic,

  title={Probabilistic visualisation of high-dimensional binary data},

  author={Tipping, Michael E},

  journal={Advances in neural information processing systems},

  pages={592--598},

  year={1999},

  publisher={Citeseer}

}

```

Dependencies are NumPy and Matplotlib. The implementation is in `pca.py` and a demo is in `pca_vs_logistic_pca.ipynb`. The demo scipt implements the synthetic dataset validation in Tipping's paper, additionally comparing to regular PCA.