def test_createCluster2_onlyOneOutlier_2D(self):
d = 2
classA = SampleContainer([(0.0, 0.0), (0.0, 1.0), (0.0, 2.0),
(0.0, 3.0)], d)
classB = SampleContainer([(0.0, 1.5)], d)
clusters = createClusters(classA, classB)
for spl in classA.getSamples():
self.assertTrue(spl in clusters.getSamples().getSamples())
def test_createClusters2_onlyOneSampleForCluster_2D(self):
d = 2
s0_1, s0_2, s0_3, s0_4 = (0.0, 2.0), (0.0, 4.0), (0.0, 6.0), (0.0, 8.0)
s1_1, s1_2, s1_3, s1_4 = (0.0, 1.0), (0.0, 3.0), (0.0, 5.0), (0.0, 7.0)
classA = SampleContainer([s1_1, s1_2, s1_3, s1_4], d)
classB = SampleContainer([s0_1, s0_2, s0_3, s0_4], d)
clusters = createClusters(classA, classB)
for spl in classA.getSamples():
self.assertTrue(spl in clusters.getSamples().getSamples())
def test_DefineClusterNoneOutlierOnlyOneSample_4D(self):
d = 4
sA = Sample((0.0, 0.0, 0.0, 0.0))
classA = SampleContainer([sA], d)
classB = SampleContainer([(0.0, 4.0, 0.0, 0.0)], d)
clusters = createClusters(classA, classB)
self.assertEquals(clusters.getSize(), 1,
"solo debe generarce un cluster")
self.assertTrue(sA in clusters.getClusters().pop().getSamples())
def test_onlyOneOutlier_3D(self):
d = 3
classA = SampleContainer([(0.0, 0.0, 0.0), (0.0, 1.0, 0.0),
(0.0, 2.0, 0.0), (0.0, 3.0, 0.0)], d)
classB = SampleContainer([(0.0, 1.5, 0.0)], d)
clusters = createClusters(classA, classB)
clusters_test = ClusterContainer([
Cluster([(0.0, 2.0, 0.0), (0.0, 3.0, 0.0)], d),
Cluster([(0.0, 0.0, 0.0), (0.0, 1.0, 0.0)], d)
], d)
self.assertEquals(
clusters, clusters_test,
"las muestras mergeables deben estar en el mismo cluster")
def test_createClusters2_severalOutliers2D(self):
d = 2
s1, s2, s3, s4, s5 = (3.0, 7.0), (3.0, 6.0), (10.0, 7.0), (10.0,
6.0), (6.5,
6.5)
samplesA = SampleContainer([s1, s2, s3, s4, s5], d)
samplesB = SampleContainer([(6.0, 7.0), (6.0, 6.0), (7.0, 6.0),
(7.0, 7.0), (6.0, 6.5), (7.0, 6.5)], d)
c1 = Cluster([s1, s2], d)
c2 = Cluster([s4, s3], d)
c3 = Cluster([s5], d)
clusters = createClusters(samplesA, samplesB)
for spl in samplesA.getSamples():
self.assertTrue(spl in clusters.getSamples().getSamples())
def test_onlyOneSampleForCluster_2D(self):
d = 2
s0_1, s0_2, s0_3, s0_4 = (0.0, 2.0), (0.0, 4.0), (0.0, 6.0), (0.0, 8.0)
s1_1, s1_2, s1_3, s1_4 = (0.0, 1.0), (0.0, 3.0), (0.0, 5.0), (0.0, 7.0)
classA = SampleContainer([s1_1, s1_2, s1_3, s1_4], d)
classB = SampleContainer([s0_1, s0_2, s0_3, s0_4], d)
clusters = createClusters(classA, classB)
clusters_test = ClusterContainer([
Cluster([s1_1], d),
Cluster([s1_2], d),
Cluster([s1_3], d),
Cluster([s1_4], d)
], d)
self.assertEquals(clusters, clusters_test,
"debe generarce un cluster para cada muestra")
def test_createClusters_allSamplesInTheSameCluster_2D(self):
d = 2
s0_1, s0_2, s0_3 = Sample((3.0, 3.0)), Sample((4.0, 4.0)), Sample(
(3.0, 4.0))
s1_1, s1_2, s1_3, s1_4, s1_5, s1_6 = Sample((0.0, 1.0)), Sample(
(0.0, 2.0)), Sample((0.0, 3.0)), Sample((1.0, 0.0)), Sample(
(1.0, 1.0)), Sample((1.0, 2.0))
class0 = SampleContainer([s0_1, s0_2, s0_3], d)
class1 = SampleContainer([s1_1, s1_2, s1_3, s1_4, s1_5, s1_6], d)
clusters_test = ClusterContainer(
[Cluster([s1_1, s1_2, s1_3, s1_4, s1_5, s1_6], d)], d)
clusters = createClusters(class1, class0)
self.assertEquals(
clusters_test, clusters,
"todas las muestras deben estar en un unico cluster")
def test_createClusters_severalOutliers2D(self):
d = 2
s1, s2, s3, s4, s5 = (3.0, 7.0), (3.0, 6.0), (10.0, 7.0), (10.0,
6.0), (6.5,
6.5)
samplesA = SampleContainer([s1, s2, s3, s4, s5], d)
samplesB = SampleContainer([(6.0, 7.0), (6.0, 6.0), (7.0, 6.0),
(7.0, 7.0), (6.0, 6.5), (7.0, 6.5)], d)
c1 = Cluster([s1, s2], d)
c2 = Cluster([s4, s3], d)
c3 = Cluster([s5], d)
container_test = ClusterContainer([c1, c2, c3], d)
container = createClusters(samplesA, samplesB)
self.assertEquals(
container, container_test,
"Deben definirse los clusters: [s1,s2],[s3,s4],[s5]")