本文整理匯總了Python中pyclustering.cluster.tests.kmedoids_templates.KmedoidsTestTemplates.templateLengthProcessWithMetric方法的典型用法代碼示例。如果您正苦於以下問題：Python KmedoidsTestTemplates.templateLengthProcessWithMetric方法的具體用法？Python KmedoidsTestTemplates.templateLengthProcessWithMetric怎麽用？Python KmedoidsTestTemplates.templateLengthProcessWithMetric使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pyclustering.cluster.tests.kmedoids_templates.KmedoidsTestTemplates的用法示例。
在下文中一共展示了KmedoidsTestTemplates.templateLengthProcessWithMetric方法的10個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: testClusterAllocationSampleSimple1UserDefinedDistanceMatrixByCore
# 需要導入模塊: from pyclustering.cluster.tests.kmedoids_templates import KmedoidsTestTemplates [as 別名]
# 或者: from pyclustering.cluster.tests.kmedoids_templates.KmedoidsTestTemplates import templateLengthProcessWithMetric [as 別名]
def testClusterAllocationSampleSimple1UserDefinedDistanceMatrixByCore(self):
metric = distance_metric(type_metric.USER_DEFINED, func=distance_metric(type_metric.EUCLIDEAN))
KmedoidsTestTemplates.templateLengthProcessWithMetric(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5], metric, True, data_type='distance_matrix')示例2: testClusterAllocationSampleSimple1ChebyshevDistanceMatrixByCore
# 需要導入模塊: from pyclustering.cluster.tests.kmedoids_templates import KmedoidsTestTemplates [as 別名]
# 或者: from pyclustering.cluster.tests.kmedoids_templates.KmedoidsTestTemplates import templateLengthProcessWithMetric [as 別名]
def testClusterAllocationSampleSimple1ChebyshevDistanceMatrixByCore(self):
metric = distance_metric(type_metric.CHEBYSHEV)
KmedoidsTestTemplates.templateLengthProcessWithMetric(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5], metric, True, data_type='distance_matrix')示例3: testClusterAllocationSampleSimple1MinkowskiDistanceMatrixByCore
# 需要導入模塊: from pyclustering.cluster.tests.kmedoids_templates import KmedoidsTestTemplates [as 別名]
# 或者: from pyclustering.cluster.tests.kmedoids_templates.KmedoidsTestTemplates import templateLengthProcessWithMetric [as 別名]
def testClusterAllocationSampleSimple1MinkowskiDistanceMatrixByCore(self):
metric = distance_metric(type_metric.MINKOWSKI, degree=2.0)
KmedoidsTestTemplates.templateLengthProcessWithMetric(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5], metric, True, data_type='distance_matrix')示例4: testClusterAllocationSampleSimple1SquareEuclideanDistanceMatrixByCore
# 需要導入模塊: from pyclustering.cluster.tests.kmedoids_templates import KmedoidsTestTemplates [as 別名]
# 或者: from pyclustering.cluster.tests.kmedoids_templates.KmedoidsTestTemplates import templateLengthProcessWithMetric [as 別名]
def testClusterAllocationSampleSimple1SquareEuclideanDistanceMatrixByCore(self):
metric = distance_metric(type_metric.EUCLIDEAN_SQUARE)
KmedoidsTestTemplates.templateLengthProcessWithMetric(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5], metric, True, data_type='distance_matrix')示例5: testClusterAllocationSampleSimple1ManhattanDistanceMatrixByCore
# 需要導入模塊: from pyclustering.cluster.tests.kmedoids_templates import KmedoidsTestTemplates [as 別名]
# 或者: from pyclustering.cluster.tests.kmedoids_templates.KmedoidsTestTemplates import templateLengthProcessWithMetric [as 別名]
def testClusterAllocationSampleSimple1ManhattanDistanceMatrixByCore(self):
metric = distance_metric(type_metric.MANHATTAN)
KmedoidsTestTemplates.templateLengthProcessWithMetric(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5], metric, True, data_type='distance_matrix')示例6: testClusterAllocationSampleSimple1EuclideanByCore
# 需要導入模塊: from pyclustering.cluster.tests.kmedoids_templates import KmedoidsTestTemplates [as 別名]
# 或者: from pyclustering.cluster.tests.kmedoids_templates.KmedoidsTestTemplates import templateLengthProcessWithMetric [as 別名]
def testClusterAllocationSampleSimple1EuclideanByCore(self):
metric = distance_metric(type_metric.EUCLIDEAN)
KmedoidsTestTemplates.templateLengthProcessWithMetric(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5], metric, True)示例7: testClusterAllocationSampleSimple1Minkowski
# 需要導入模塊: from pyclustering.cluster.tests.kmedoids_templates import KmedoidsTestTemplates [as 別名]
# 或者: from pyclustering.cluster.tests.kmedoids_templates.KmedoidsTestTemplates import templateLengthProcessWithMetric [as 別名]
def testClusterAllocationSampleSimple1Minkowski(self):
metric = distance_metric(type_metric.MINKOWSKI, degree=2.0)
KmedoidsTestTemplates.templateLengthProcessWithMetric(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5], metric, False)示例8: testClusterAllocationSampleSimple1Chebyshev
# 需要導入模塊: from pyclustering.cluster.tests.kmedoids_templates import KmedoidsTestTemplates [as 別名]
# 或者: from pyclustering.cluster.tests.kmedoids_templates.KmedoidsTestTemplates import templateLengthProcessWithMetric [as 別名]
def testClusterAllocationSampleSimple1Chebyshev(self):
metric = distance_metric(type_metric.CHEBYSHEV)
KmedoidsTestTemplates.templateLengthProcessWithMetric(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5], metric, False)示例9: testClusterAllocationSampleSimple1Manhattan
# 需要導入模塊: from pyclustering.cluster.tests.kmedoids_templates import KmedoidsTestTemplates [as 別名]
# 或者: from pyclustering.cluster.tests.kmedoids_templates.KmedoidsTestTemplates import templateLengthProcessWithMetric [as 別名]
def testClusterAllocationSampleSimple1Manhattan(self):
metric = distance_metric(type_metric.MANHATTAN)
KmedoidsTestTemplates.templateLengthProcessWithMetric(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5], metric, False)示例10: testClusterAllocationSampleSimple1SquareEuclidean
# 需要導入模塊: from pyclustering.cluster.tests.kmedoids_templates import KmedoidsTestTemplates [as 別名]
# 或者: from pyclustering.cluster.tests.kmedoids_templates.KmedoidsTestTemplates import templateLengthProcessWithMetric [as 別名]
def testClusterAllocationSampleSimple1SquareEuclidean(self):
metric = distance_metric(type_metric.EUCLIDEAN_SQUARE)
KmedoidsTestTemplates.templateLengthProcessWithMetric(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [2, 9], [5, 5], metric, False)