↘Dimensionality reduction

View high-dimensional relationships in fewer dimensions with dimensionality reduction, PCA, UMAP, and t-SNE. — 4 entries

Mapping many feature dimensions into fewer ones for summary or display.

A linear projection onto successive orthogonal directions of greatest variance.

Building a neighbor graph and arranging points in fewer dimensions.

Placing points so close high-dimensional pairs tend to remain close in 2D.