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Addendae (cont'd)

Manifold hypothesis
https://en.wikipedia.org/wiki/Manifold_hypothesis

Many high-dimensional data sets (requiring many variables) in the real world actually lie along low-dimensional latent manifolds in that high-dimensional space (described by a smaller number of variables).

This principle may underpin the effectiveness of ML algorithms in describing high-dimensional data sets by considering a few common features.

#ManifoldHypothesis #manifolds #MachineLearning #DimensionalityReduction