https://github.com/se7en69/principal-component-analysis-pca-
Principal component analysis (PCA) is a technique for reducing the dimensionality of such datasets, increasing interpretability but at the same time minimizing information loss. It does so by creating new uncorrelated variables that successively maximize variance. Script of R to analyze the data of PCA.
https://github.com/se7en69/principal-component-analysis-pca-
Last synced: 3 months ago
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Principal component analysis (PCA) is a technique for reducing the dimensionality of such datasets, increasing interpretability but at the same time minimizing information loss. It does so by creating new uncorrelated variables that successively maximize variance. Script of R to analyze the data of PCA.
- Host: GitHub
- URL: https://github.com/se7en69/principal-component-analysis-pca-
- Owner: se7en69
- Created: 2022-10-12T01:24:09.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-10-12T01:24:47.000Z (over 2 years ago)
- Last Synced: 2025-01-25T00:17:03.595Z (5 months ago)
- Language: R
- Size: 1.95 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0