ensemble

  ↳ stoclust

Contains functions for generating ensembles from data and calculating clusters over ensembles.

Functions

• from_noise

  from_noise(vecs, noise_map, ensemble_size=100, show_progress=False)
  Given an ensemble of matrices and a clustering method, returns the result of clustering each trial as an ensemble of block matrices.
  

• given_ensemble

  given_ensemble(mats, clustering_method, show_progress=False)
  Given an ensemble of matrices and a clustering method, returns the result of clustering each trial as an ensemble of block matrices.
  

• random_clustering

  random_clustering(mat, clustering_method, ensemble_size=100, show_progress=False)
  Given a matrix and a function describing a random clustering method, returns an ensemble of block matrices.
  

• smooth_block

  smooth_block(block_mats, window=7, cutoff=0.5)
  Given an ensemble of matrices and a clustering method, returns the result of clustering each trial as an ensemble of block matrices.