def test_cluster_cohe_sep_wo_prot_eval(self):
distances = CondensedMatrix([1., 2., 3., 4., 5., 6., 7., 8., 9., 10.])
clusters_1 = [
Cluster(None, elements=[0, 1]),
Cluster(None, elements=[2]),
Cluster(None, elements=[3, 4])
]
clusters_2 = [
Cluster(None, elements=[0, 2, 4]),
Cluster(None, elements=[1, 3])
]
clusterization_1 = Clustering(clusters_1)
clusterization_2 = Clustering(clusters_2)
sep_calctor = SeparationCalculator()
self.assertEqual(
sep_calctor.cluster_separation(clusters_1[0], clusterization_1, 1.,
distances), 27.0)
self.assertEqual(
sep_calctor.cluster_separation(clusters_1[1], clusterization_1, 1.,
distances), 24.0)
self.assertEqual(
sep_calctor.cluster_separation(clusters_1[2], clusterization_1, 1.,
distances), 37.0)
self.assertEqual(
sep_calctor.cluster_separation(clusters_2[0], clusterization_2, 1.,
distances), 34.0)
self.assertEqual(
sep_calctor.cluster_separation(clusters_2[1], clusterization_2, 1.,
distances), 34.0)
def test_cluster_mixed_cohesion_wo_prot(self):
distances = CondensedMatrix([1., 2., 3., 4., 5., 6., 7., 8., 9., 10.])
clusters_1 = [
Cluster(None, elements=[0, 1]),
Cluster(None, elements=[2]),
Cluster(None, elements=[3, 4])
]
clusters_2 = [
Cluster(None, elements=[0, 2, 4]),
Cluster(None, elements=[1, 3])
]
sep_calctor = SeparationCalculator()
self.assertEqual(
sep_calctor._SeparationCalculator__between_cluster_distance(
clusters_1[0], clusters_1[1], distances), 7.0)
self.assertEqual(
sep_calctor._SeparationCalculator__between_cluster_distance(
clusters_1[0], clusters_1[2], distances), 20.0)
self.assertEqual(
sep_calctor._SeparationCalculator__between_cluster_distance(
clusters_1[1], clusters_1[2], distances), 17.0)
self.assertEqual(
sep_calctor._SeparationCalculator__between_cluster_distance(
clusters_2[0], clusters_2[1], distances), 34.0)
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)