hdmseg

Python bindings for population-consistent spectral segmentation by correspondence-collapsed consensus diffusion.

python -m pip install "hdmseg>=0.2,<0.3"

import hdmseg

segmentation = hdmseg.segment(X)  # X has shape (N, M, D)
segmentation.labels               # one region id per corresponding locus

The current implementation uses edge-sparse operators and a partial self-adjoint eigensolver for large connected graphs, with an exact dense fallback for small, disconnected, or nonconverged cases. It is frame-free and is not a horizontal or hypoelliptic diffusion-map implementation.

See the repository README and docs/TUNING.md for the method, complete API, complexity limits, source installation, and development instructions.

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