Esempi in Python per clustering

Esempio n. 1

File: it_ttsas.py Progetto: zzp-seeker/pyclustering

 def testClusteringSampleSimple1EuclideanSquare(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1.0, 2.0, [5, 5], True, metric=distance_metric(type_metric.EUCLIDEAN_SQUARE));
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 10.0, 20.0, [5, 5], True, metric=distance_metric(type_metric.EUCLIDEAN_SQUARE));
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 100.0, 200.0, [10], True, metric=distance_metric(type_metric.EUCLIDEAN_SQUARE));

Esempio n. 2

File: it_ttsas.py Progetto: annoviko/pyclustering

 def testClusteringSampleSimple1Euclidean(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1.0, 2.0, [5, 5], True, metric=distance_metric(type_metric.EUCLIDEAN));
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 10.0, 20.0, [10], True, metric=distance_metric(type_metric.EUCLIDEAN));

Esempio n. 3

File: ut_ttsas.py Progetto: annoviko/pyclustering

 def testOneDimentionalPoints2(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 1.0, 2.0, [10, 20], False);
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 10.0, 20.0, [30], False);

Esempio n. 4

File: ut_ttsas.py Progetto: annoviko/pyclustering

 def testTheSamePoints1(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 1.0, 1.5, [5, 5, 5], False);
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 0.001, 0.002, [5, 5, 5], False);
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 1000, 2000, [15], False);

Esempio n. 5

File: ut_ttsas.py Progetto: annoviko/pyclustering

 def testClusteringSampleSimple1Manhattan(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1.0, 2.0, [5, 5], False, metric=distance_metric(type_metric.MANHATTAN));
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 10.0, 20.0, [10], False, metric=distance_metric(type_metric.MANHATTAN));

Esempio n. 6

File: ut_ttsas.py Progetto: annoviko/pyclustering

 def testClusteringSampleSimple2(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 1.0, 2.0, [5, 8, 10], False);
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 10.0, 20.0, [23], False);

Esempio n. 7

File: it_ttsas.py Progetto: rscool78/pyclustering

 def testOneDimentionalPoints2(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 1.0, 2.0,
                           [10, 20], True)
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 10.0, 20.0, [30],
                           True)

Esempio n. 8

File: ut_ttsas.py Progetto: annoviko/pyclustering

 def testClusteringSampleSimple1(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1.0, 2.0, [5, 5], False);
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 10.0, 20.0, [10], False);

Esempio n. 9

File: it_ttsas.py Progetto: zzp-seeker/pyclustering

 def testTheSamePoints1(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 1.0, 1.5, [5, 5, 5], True);
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 0.001, 0.002, [5, 5, 5], True);
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 1000, 2000, [15], True);

Esempio n. 10

File: it_ttsas.py Progetto: zzp-seeker/pyclustering

 def runRemovedLibraryCoreTest(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1.0, 2.0, [5, 5], True)

Esempio n. 11

File: it_ttsas.py Progetto: zzp-seeker/pyclustering

 def testOneDimentionalPoints1(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 1.0, 2.0, [10, 10], True);
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 10.0, 20.0, [20], True);

Esempio n. 12

File: it_ttsas.py Progetto: zzp-seeker/pyclustering

 def testClusteringSampleSimple1Chebyshev(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1.0, 2.0, [5, 5], True, metric=distance_metric(type_metric.CHEBYSHEV));
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 10.0, 20.0, [10], True, metric=distance_metric(type_metric.CHEBYSHEV));

Esempio n. 13

File: it_ttsas.py Progetto: zzp-seeker/pyclustering

 def testClusteringSampleSimple1Manhattan(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1.0, 2.0, [5, 5], True, metric=distance_metric(type_metric.MANHATTAN));
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 10.0, 20.0, [10], True, metric=distance_metric(type_metric.MANHATTAN));

Esempio n. 14

File: it_ttsas.py Progetto: annoviko/pyclustering

 def testOneDimentionalPoints1(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 1.0, 2.0, [10, 10], True);
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 10.0, 20.0, [20], True);

Esempio n. 15

File: it_ttsas.py Progetto: rscool78/pyclustering

 def testThreeDimentionalPoints(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 1.0, 2.0,
                           [10, 10], True)
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 10.0, 20.0, [20],
                           True)

Esempio n. 16

File: it_ttsas.py Progetto: annoviko/pyclustering

 def testProcessingWhenLibraryCoreCorrupted(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1.0, 2.0, [5, 5], True);

Esempio n. 17

File: it_ttsas.py Progetto: rscool78/pyclustering

 def testTheSamePoints2(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 1.0, 2.0,
                           [10, 20], True)
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 10.0, 20.0, [30],
                           True)

Esempio n. 18

File: ut_ttsas.py Progetto: annoviko/pyclustering

 def testClusteringSampleSimple1EuclideanSquare(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1.0, 2.0, [5, 5], False, metric=distance_metric(type_metric.EUCLIDEAN_SQUARE));
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 10.0, 20.0, [5, 5], False, metric=distance_metric(type_metric.EUCLIDEAN_SQUARE));
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 100.0, 200.0, [10], False, metric=distance_metric(type_metric.EUCLIDEAN_SQUARE));

Esempio n. 19

File: it_ttsas.py Progetto: rscool78/pyclustering

 def testProcessingWhenLibraryCoreCorrupted(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1.0, 2.0, [5, 5],
                           True)

Esempio n. 20

File: ut_ttsas.py Progetto: annoviko/pyclustering

 def testClusteringSampleSimple1Chebyshev(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1.0, 2.0, [5, 5], False, metric=distance_metric(type_metric.CHEBYSHEV));
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 10.0, 20.0, [10], False, metric=distance_metric(type_metric.CHEBYSHEV));

Esempio n. 21

File: it_ttsas.py Progetto: rscool78/pyclustering

 def testClusteringSampleSimple1(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1.0, 2.0, [5, 5],
                           True)
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 10.0, 20.0, [10],
                           True)

Esempio n. 22

File: ut_ttsas.py Progetto: annoviko/pyclustering

 def testClusteringSampleSimple3(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 1.0, 2.0, [10, 10, 10, 30], False);
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 10.0, 20.0, [60], False);

Esempio n. 23

File: it_ttsas.py Progetto: rscool78/pyclustering

 def testClusteringSampleSimple2(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 1.0, 2.0,
                           [5, 8, 10], True)
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 10.0, 20.0, [23],
                           True)

Esempio n. 24

File: ut_ttsas.py Progetto: annoviko/pyclustering

 def testThreeDimentionalPoints(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 1.0, 2.0, [10, 10], False);
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 10.0, 20.0, [20], False);

Esempio n. 25

File: it_ttsas.py Progetto: rscool78/pyclustering

 def testClusteringSampleSimple3(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 1.0, 2.0,
                           [10, 10, 10, 30], True)
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 10.0, 20.0, [60],
                           True)

Esempio n. 26

File: ut_ttsas.py Progetto: annoviko/pyclustering

 def testTheSamePoints2(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 1.0, 2.0, [10, 20], False);
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 10.0, 20.0, [30], False);

Esempio n. 27

File: ut_ttsas.py Progetto: hadarrah/Clustring_Tool_Analisys

 def testClusteringSampleSimple1Euclidean(self):
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1.0, 2.0, [5, 5], False, metric=distance_metric(type_metric.EUCLIDEAN));
     ttsas_test.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 10.0, 20.0, [10], False, metric=distance_metric(type_metric.EUCLIDEAN));