spectral.py 文件源码

def spectral(data):
  spectral = SpectralClustering(
      eigen_solver='arpack',
      affinity='rbf',
      assign_labels='discretize'
  ).fit(data)

  print 'Spectral'
  print collections.Counter(spectral.labels_)
  print metrics.silhouette_score(data, spectral.labels_)

  reduced_data = reduce_with_pca(data, 2)
  plot_2d_data(reduced_data, spectral.labels_)