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MST-based intrinsic dimension estimator

Techniqueintermediate

Estimates a representation manifold's intrinsic dimension from the growth rate of the total length of a minimum spanning tree over sampled points, as a function of sample size — an alternative to nearest-neighbor-ratio estimators like TwoNN that uses global tree structure rather than only first/second nearest-neighbor distances.

Used in (1 observation)

structure: Intrinsic-dimension profile across depth · models: DINOv2 ViT-B/14, iBOT ViT-B/16, CLIP ViT-B/32 · paper: IdEst: Assessing Self-Supervised Learning Representations via Intrinsic Dimension