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Principal component analysis, a technique for dimensionality reduction.

1 vote

how to classify highly overlapping data after PCA and t-SNE?

I would recommend to use UMAP. It is a superior algorithm to both of them: YOUTUBE: UMAP explained | The best dimensionality reduction? Publication: UMAP: Uniform Manifold Approximation and Projecti …
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