https://github.com/gdmcdonald/svd-vs-pca
An explanation of the difference between Singular Value Decomposition (SVD) and Principal Component Analysis (PCA)
https://github.com/gdmcdonald/svd-vs-pca
matrix-factorization principal-component-analysis singular-value-decomposition slides
Last synced: 4 months ago
JSON representation
An explanation of the difference between Singular Value Decomposition (SVD) and Principal Component Analysis (PCA)
- Host: GitHub
- URL: https://github.com/gdmcdonald/svd-vs-pca
- Owner: gdmcdonald
- Created: 2017-12-04T22:59:58.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-12-05T01:15:27.000Z (over 8 years ago)
- Last Synced: 2025-06-27T05:39:36.491Z (12 months ago)
- Topics: matrix-factorization, principal-component-analysis, singular-value-decomposition, slides
- Size: 3.24 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files: