def test_regression_separation_eval(self):
distances = CondensedMatrix( [ 1., 2., 3., 4.,
5., 6., 7.,
8., 9.,
10.])
clusters = [Cluster(None, elements=[0,1]),
Cluster(None, elements=[2]),
Cluster(None, elements=[3,4])]
clustering = Clustering(clusters)
sep_calctor = SeparationCalculator()
self.assertEqual( sep_calctor.evaluate(clustering, distances,[1,1,1]), 27.0 + 24.0 + 37.0)
self.assertEqual( sep_calctor.evaluate(clustering, distances), (1/0.5)*27.0 + (1/5.0)*37.0)
def test_regression_separation_eval(self):
distances = CondensedMatrix([1., 2., 3., 4., 5., 6., 7., 8., 9., 10.])
clusters = [
Cluster(None, elements=[0, 1]),
Cluster(None, elements=[2]),
Cluster(None, elements=[3, 4])
]
clustering = Clustering(clusters)
sep_calctor = SeparationCalculator()
self.assertEqual(
sep_calctor.evaluate(clustering, distances, [1, 1, 1]),
27.0 + 24.0 + 37.0)
self.assertEqual(sep_calctor.evaluate(clustering, distances),
(1 / 0.5) * 27.0 + (1 / 5.0) * 37.0)
