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Noise_Resil

🔬 Intrinsic Latent Space (LSE)

Noise Resilience

Direction

Higher is Better

Value Range

[0, 1]

Category

Intrinsic Latent Space (LSE)

Unsupervised geometric, spectral, and topological properties

Description

Signal-to-noise ratio based on leading vs. trailing PCA components

Mathematical Formula

min(SNR/10, 1), where SNR = Σλ₁₋₂ / Σλ₃₊

Interpretation Guide

Higher = better noise filtering. Indicates robustness to technical variation and measurement errors.

Related Metrics

Other metrics in the Intrinsic Latent Space (LSE) category

Manifold_Dim

↑

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

Spectral_Decay

↑

Rate of eigenvalue decay indicating information concentration in leading dimensions

Part_Ratio

↑

Effective dimensionality measure from eigenvalue distribution (trajectory: lower is better, steady-state: higher is better)