def testClusterAllocationSampleSimple1ChebyshevDistanceMatrixByCore(self):
     metric = distance_metric(type_metric.CHEBYSHEV)
     kmedoids_test_template.templateLengthProcessWithMetric(
         SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5],
         metric,
         True,
         data_type='distance_matrix')
 def testClusterAllocationSampleSimple1MinkowskiDistanceMatrixByCore(self):
     metric = distance_metric(type_metric.MINKOWSKI, degree=2.0)
     kmedoids_test_template.templateLengthProcessWithMetric(
         SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5],
         metric,
         True,
         data_type='distance_matrix')
 def testClusterAllocationSampleSimple1ManhattanDistanceMatrixByCore(self):
     metric = distance_metric(type_metric.MANHATTAN)
     kmedoids_test_template.templateLengthProcessWithMetric(
         SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5],
         metric,
         True,
         data_type='distance_matrix')
 def testClusterAllocationSampleSimple1SquareEuclideanDistanceMatrix(self):
     metric = distance_metric(type_metric.EUCLIDEAN_SQUARE)
     kmedoids_test_template.templateLengthProcessWithMetric(
         SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5],
         metric,
         False,
         data_type='distance_matrix')
 def testClusterAllocationSampleSimple1UserDefinedDistanceMatrix(self):
     metric = distance_metric(type_metric.USER_DEFINED,
                              func=distance_metric(type_metric.EUCLIDEAN))
     kmedoids_test_template.templateLengthProcessWithMetric(
         SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5],
         metric,
         False,
         data_type='distance_matrix')
 def testClusterAllocationSampleSimple1GowerDistanceMatrixByCore(self):
     metric = distance_metric(type_metric.GOWER,
                              data=read_sample(
                                  SIMPLE_SAMPLES.SAMPLE_SIMPLE1))
     kmedoids_test_template.templateLengthProcessWithMetric(
         SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5],
         metric,
         True,
         data_type='distance_matrix')
 def testClusterAllocationSampleSimple1SquareEuclideanByCore(self):
     metric = distance_metric(type_metric.EUCLIDEAN_SQUARE)
     kmedoids_test_template.templateLengthProcessWithMetric(
         SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5], metric, True)
Beispiel #8
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 def testClusterAllocationSampleSimple1Minkowski(self):
     metric = distance_metric(type_metric.MINKOWSKI, degree=2.0)
     kmedoids_test_template.templateLengthProcessWithMetric(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5], metric, False)
Beispiel #9
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 def testClusterAllocationSampleSimple1Chebyshev(self):
     metric = distance_metric(type_metric.CHEBYSHEV)
     kmedoids_test_template.templateLengthProcessWithMetric(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5], metric, False)
Beispiel #10
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 def testClusterAllocationSampleSimple1Manhattan(self):
     metric = distance_metric(type_metric.MANHATTAN)
     kmedoids_test_template.templateLengthProcessWithMetric(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5], metric, False)