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Manifold_Dim

🔬 Intrinsic Latent Space (LSE)

Manifold Dimensionality Efficiency

Direction

Higher is Better

Value Range

[0, 1]

Category

Intrinsic Latent Space (LSE)

Unsupervised geometric, spectral, and topological properties

Description

Multi-method dimensionality efficiency score combining variance thresholds, Kaiser criterion, elbow detection, and spectral decay

Mathematical Formula

mean(threshold_efficiencies, kaiser_efficiency, elbow_efficiency, decay_score)

Interpretation Guide

Higher = more efficient compression (fewer dimensions capture variance). 1 = ideal dimensionality concentration.

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