Python clustering Examples

Example #1

 def testClusteringSampleSimple1Euclidean(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1,
                                    2,
                                    1.0, [5, 5],
                                    True,
                                    metric=distance_metric(
                                        type_metric.EUCLIDEAN))
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1,
                                    2,
                                    10.0, [10],
                                    True,
                                    metric=distance_metric(
                                        type_metric.EUCLIDEAN))

Example #2

 def testClusteringSampleSimple1Manhattan(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1,
                                    2,
                                    1.0, [5, 5],
                                    True,
                                    metric=distance_metric(
                                        type_metric.MANHATTAN))
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1,
                                    2,
                                    10.0, [10],
                                    True,
                                    metric=distance_metric(
                                        type_metric.MANHATTAN))

Example #3

 def testClusteringSampleSimple1Chebyshev(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1,
                                    2,
                                    1.0, [5, 5],
                                    True,
                                    metric=distance_metric(
                                        type_metric.CHEBYSHEV))
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1,
                                    2,
                                    10.0, [10],
                                    True,
                                    metric=distance_metric(
                                        type_metric.CHEBYSHEV))

Example #4

 def testClusteringSampleSimple1(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0,
                                    [5, 5], True)
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 10, 1.0,
                                    [5, 5], True)
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 10.0,
                                    [10], True)
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1, 1.0,
                                    [10], True)

Example #5

 def testTheSamePoints1(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 3, 1.0,
                                    [5, 5, 5], True)
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 30, 1.0,
                                    [5, 5, 5], True)
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 3, 10.0,
                                    [15], True)
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 1, 1.0,
                                    [15], True)

Example #6

File: ut_mbsas.py Project: wuhongjian139/pyclustering

 def testClusteringSampleSimple1EuclideanSquare(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1,
                                    2,
                                    1.0, [5, 5],
                                    False,
                                    metric=distance_metric(
                                        type_metric.EUCLIDEAN_SQUARE))
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1,
                                    2,
                                    10.0, [5, 5],
                                    False,
                                    metric=distance_metric(
                                        type_metric.EUCLIDEAN_SQUARE))
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1,
                                    2,
                                    100.0, [10],
                                    False,
                                    metric=distance_metric(
                                        type_metric.EUCLIDEAN_SQUARE))

Example #7

 def testThreeDimentionalPoints(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 2, 1.0,
                                    [10, 10], True)
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 2, 10.0,
                                    [20], True)

Example #8

File: ut_mbsas.py Project: annoviko/pyclustering

 def testClusteringSampleSimple1Manhattan(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0, [5, 5], False, metric=distance_metric(type_metric.MANHATTAN));
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 10.0, [10], False, metric=distance_metric(type_metric.MANHATTAN));

Example #9

 def testClusteringSampleSimple3(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 4, 2.0,
                                    [10, 10, 10, 30], True)
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 4, 10.0,
                                    [60], True)

Example #10

 def testOneDimentionalPoints2(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 2, 1.0,
                                    [10, 20], True)
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 2, 10.0,
                                    [30], True)

Example #11

File: it_mbsas.py Project: annoviko/pyclustering

 def testProcessingWhenLibraryCoreCorrupted(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0, [5, 5], True);

Example #12

File: ut_mbsas.py Project: annoviko/pyclustering

 def testClusteringSampleSimple2(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 3, 1.0, [5, 8, 10], False);
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 3, 10.0, [23], False);

Example #13

File: it_mbsas.py Project: annoviko/pyclustering

 def testOneDimentionalPoints1(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 2, 1.0, [10, 10], True);
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 2, 10.0, [20], True);

Example #14

File: ut_mbsas.py Project: annoviko/pyclustering

 def testClusteringSampleSimple1EuclideanSquare(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0, [5, 5], False, metric=distance_metric(type_metric.EUCLIDEAN_SQUARE));
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 10.0, [5, 5], False, metric=distance_metric(type_metric.EUCLIDEAN_SQUARE));
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 100.0, [10], False, metric=distance_metric(type_metric.EUCLIDEAN_SQUARE));

Example #15

File: ut_mbsas.py Project: annoviko/pyclustering

 def testTheSamePoints1(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 3, 1.0, [5, 5, 5], False);
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 30, 1.0, [5, 5, 5], False);
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 3, 10.0, [15], False);
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 1, 1.0, [15], False);

Example #16

File: ut_mbsas.py Project: annoviko/pyclustering

 def testTheSamePoints2(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 3, 1.0, [10, 20], False);
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 3, 10.0, [30], False);

Example #17

File: ut_mbsas.py Project: annoviko/pyclustering

 def testThreeDimentionalPoints(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 2, 1.0, [10, 10], False);
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 2, 10.0, [20], False);

Example #18

File: ut_mbsas.py Project: annoviko/pyclustering

 def testOneDimentionalPoints2(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 2, 1.0, [10, 20], False);
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 2, 10.0, [30], False);

Example #19

File: ut_mbsas.py Project: annoviko/pyclustering

 def testClusteringSampleSimple3(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 4, 2.0, [10, 10, 10, 30], False);
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 4, 10.0, [60], False);

Example #20

 def testTheSamePoints2(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 3, 1.0,
                                    [10, 20], True)
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 3, 10.0,
                                    [30], True)

Example #21

 def testOneDimentionalPoints1(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 2, 1.0, [10, 10], True);
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 2, 10.0, [20], True);

Example #22

 def testProcessingWhenLibraryCoreCorrupted(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0,
                                    [5, 5], True)

Example #23

 def runRemovedLibraryCoreTest(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0, [5, 5], True)

Example #24

File: ut_mbsas.py Project: annoviko/pyclustering

 def testClusteringSampleSimple1(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0, [5, 5], False);
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 10, 1.0, [5, 5], False);
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 10.0, [10], False);
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1, 1.0, [10], False);

Example #25

 def testClusteringSampleSimple2(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 3, 1.0,
                                    [5, 8, 10], True)
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 3, 10.0,
                                    [23], True)

Example #26

File: it_mbsas.py Project: annoviko/pyclustering

 def testClusteringSampleSimple1Euclidean(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0, [5, 5], True, metric=distance_metric(type_metric.EUCLIDEAN));
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 10.0, [10], True, metric=distance_metric(type_metric.EUCLIDEAN));

Example #27

File: ut_mbsas.py Project: annoviko/pyclustering

 def testClusteringSampleSimple1Chebyshev(self):
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 1.0, [5, 5], False, metric=distance_metric(type_metric.CHEBYSHEV));
     mbsas_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 10.0, [10], False, metric=distance_metric(type_metric.CHEBYSHEV));