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using the same color names, comparing different dimensionality reduction algorithms (pca, tsne and umap):

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Kat ⊷ the Poet Engineer

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31,348 görüntüleme • 1 yıl önce •via X (Twitter)

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Many dimensionality reduction algorithms share a few central principles. 1. Construct a graph that captures the data's local structure 2. Measure "geodesic" distances between points using the graph 3. Project the points to a lower dimension while preserving these distances
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