def test_subsampled_mean_min_dist(self):
calculator = MeanMinimumDistanceCalculator(10)
clusters = [Cluster(None, elements=[0,1,2]),
Cluster(None, elements=[3,4])]
triangle = [ 1., 2., 3., 4.,
5., 6., 7.,
8., 9.,
10.]
distances = CondensedMatrix( triangle )
self.assertEqual((8.0, 6.0),calculator.subsampled_mean_min_dist(clusters[0], clusters[1], 20, distances))
def test_subsampled_mean_min_dist(self):
calculator = MeanMinimumDistanceCalculator(10)
clusters = [
Cluster(None, elements=[0, 1, 2]),
Cluster(None, elements=[3, 4])
]
triangle = [1., 2., 3., 4., 5., 6., 7., 8., 9., 10.]
distances = CondensedMatrix(triangle)
self.assertEqual(
(8.0, 6.0),
calculator.subsampled_mean_min_dist(clusters[0], clusters[1], 20,
distances))
