gdbassett

from sklearn.metrics.pairwise import pairwise_distances
import numpy as np

# X shoudl be a numpy matrix, very likely sparse matrix: http://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.sparse.csr_matrix.html#scipy.sparse.csr_matrix
# T1 > T2 for overlapping clusters
# T1 = Distance to centroid point to not include in other clusters
# T2 = Distance to centroid point to include in cluster
# T1 > T2 for overlapping clusters
# T1 < T2 will have points which reside in no clusters
# T1 == T2 will cause all points to reside in mutually exclusive clusters