cr.sparse.cluster.spectral.normalized_random_walk

cr.sparse.cluster.spectral.normalized_random_walk(key, W)[source]

Normalized spectral clustering with random walk

Parameters
  • key – a PRNG key used for the k-means algorithm

  • W (jax.numpy.ndarray) – Similarity/Weights matrix

Returns

A named tuple with the spectral clustering solution (Laplacian, singular values, cluster assignment)

Return type

(SpectralclusteringSolution)