scikit-learn/sklearn/cluster/tests
Lars Buitinck 24af95a211 ENH refactor squared-norms computation to extmath
k-means can now use the memory-efficient dense implementation from
metrics.pairwise, while pairwise can use the fast sparse implementation
from k-means.
2013-10-12 20:27:51 +02:00
..
__init__.py Move project directory from scikits.learn to sklearn 2011-09-02 12:06:57 +02:00
common.py cosmit pep8 2012-12-16 23:28:10 +01:00
test_affinity_propagation.py More user-friendly error message. 2013-08-15 22:45:17 +09:00
test_dbscan.py DBSCAN BallTree implementation 2013-07-29 22:58:54 +02:00
test_hierarchical.py TST: avoid a crash in Windows + Anaconda Py3.3 2013-08-07 19:46:50 +02:00
test_k_means.py ENH refactor squared-norms computation to extmath 2013-10-12 20:27:51 +02:00
test_mean_shift.py Add missing docstrings to test functions. 2013-08-15 22:45:17 +09:00
test_spectral.py ENH make spectral clustering test more stable to random seed 2013-07-25 19:19:26 +02:00