https://github.com/lucko515/dataset-dimensionality-reduction-python
Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dimensional datasets.
https://github.com/lucko515/dataset-dimensionality-reduction-python
dimensionality-reduction kernel-pca lda machine-learning pca tsne
Last synced: 6 months ago
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Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dimensional datasets.
- Host: GitHub
- URL: https://github.com/lucko515/dataset-dimensionality-reduction-python
- Owner: lucko515
- Created: 2017-07-24T10:52:20.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2017-07-24T11:27:20.000Z (about 8 years ago)
- Last Synced: 2025-03-28T09:11:14.688Z (6 months ago)
- Topics: dimensionality-reduction, kernel-pca, lda, machine-learning, pca, tsne
- Language: Jupyter Notebook
- Homepage:
- Size: 11.5 MB
- Stars: 19
- Watchers: 1
- Forks: 10
- Open Issues: 0