def testSilhouetteSpecialCase(self):
clustering = Clustering.from_dic(data.clustering_01)
mh = MatrixHandler({
"method": "load",
"parameters":{
"path": "data/example_clustering_1_matrix"
}
}
)
s = SilhouetteCoefficientCalculator()
matrix = mh.create_matrix(None)
print s.evaluate(clustering, matrix)
def test_one_clusterization_silhouette(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])]
clusterization_1 = Clustering(clusters_1)
sil_calc = SilhouetteCoefficientCalculator()
expected = [0.5, 0.80000000000000004, -0.55000000000000004, -0.45000000000000001, 0.7142857142857143]
self.assertItemsEqual(sil_calc._SilhouetteCoefficientCalculator__one_clusterization_partial_silhouette(clusterization_1,distances),expected)
def test_get_average_distance(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])]
sil_calc = SilhouetteCoefficientCalculator()
self.assertEqual( sil_calc._SilhouetteCoefficientCalculator__get_average_distance_with_cluster(0,clusters_1[0],distances),0.5)
self.assertEqual( sil_calc._SilhouetteCoefficientCalculator__get_average_distance_with_cluster(1,clusters_1[0],distances),0.5)
self.assertEqual( sil_calc._SilhouetteCoefficientCalculator__get_average_distance_with_cluster(2,clusters_1[1],distances),0.0)
self.assertEqual( sil_calc._SilhouetteCoefficientCalculator__get_average_distance_with_cluster(2,clusters_1[2],distances),8.5)
self.assertEqual( sil_calc._SilhouetteCoefficientCalculator__get_average_distance_with_cluster(0,clusters_2[0],distances),2.0)
self.assertEqual( sil_calc._SilhouetteCoefficientCalculator__get_average_distance_with_cluster(0,clusters_2[1],distances),2.0)
def test_one_element_silhouette(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)
sil_calc = SilhouetteCoefficientCalculator()
self.assertEqual( sil_calc._SilhouetteCoefficientCalculator__one_element_silhouette(0,clusters_1[0],clusterization_1,distances),0.5)
self.assertEqual( sil_calc._SilhouetteCoefficientCalculator__one_element_silhouette(1,clusters_1[0],clusterization_1,distances),0.8)
self.assertAlmostEqual(sil_calc._SilhouetteCoefficientCalculator__one_element_silhouette(2,clusters_1[1],clusterization_1,distances),0.714, places = 3)
self.assertAlmostEqual( sil_calc._SilhouetteCoefficientCalculator__one_element_silhouette(3,clusters_1[2],clusterization_1,distances),-0.55)
self.assertAlmostEqual( sil_calc._SilhouetteCoefficientCalculator__one_element_silhouette(0,clusters_2[0],clusterization_2,distances),-0.333, places = 3)
self.assertAlmostEqual( sil_calc._SilhouetteCoefficientCalculator__one_element_silhouette(1,clusters_2[1],clusterization_2,distances),-0.2777, places = 3)
