Traj_Dir

Higher is Better

[0, 1]

Description

Dominance of primary developmental axis relative to other directions

λ₁ / (1 + λ₁/Σλᵢ₊₁) from PCA eigenvalues

High = clear single developmental trajectory. Low = steady-state or multi-branched development. Data type indicator.

Other metrics in the Latent Space category

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

Rate of eigenvalue decay indicating information concentration in leading dimensions

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