"""! @brief Integration-tests for X-Means algorithm. @authors Andrei Novikov (pyclustering@yandex.ru) @date 2014-2020 @copyright BSD-3-Clause """ import unittest # Generate images without having a window appear. import matplotlib matplotlib.use('Agg') from pyclustering.cluster.tests.xmeans_templates import XmeansTestTemplates from pyclustering.cluster.xmeans import xmeans, splitting_type from pyclustering.samples.definitions import SIMPLE_SAMPLES, FCPS_SAMPLES from pyclustering.core.tests import remove_library from pyclustering.utils import read_sample from pyclustering.utils.metric import distance_metric, type_metric class XmeansIntegrationTest(unittest.TestCase): def testBicClusterAllocationSampleSimple1ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicClusterAllocationSampleSimple1RepeatByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, repeat=2) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, repeat=4) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, repeat=8) def testBicSampleSimple1WithoutInitialCentersByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, None, [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicSampleSimple1WithoutInitialCentersRepeatByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, None, [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, repeat=5) def testBicSampleSimple1MaxLessRealByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5]], None, splitting_type.BAYESIAN_INFORMATION_CRITERION, 1, True) def testBicSampleSimple1MaxLessRealRepeatByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5]], None, splitting_type.BAYESIAN_INFORMATION_CRITERION, 1, True, repeat=5) def testBicWrongStartClusterAllocationSampleSimple1ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicWrongStartClusterAllocationSampleSimpleRepeat1ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, repeat=5) def testMndlClusterAllocationSampleSimple1ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, alpha=0.1, beta=0.1) def testMndlSampleSimple1WithoutInitialCentersByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, None, [5, 5], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, alpha=0.1, beta=0.1) def testMndlWrongStartClusterAllocationSampleSimple1ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5]], [5, 5], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, alpha=0.1, beta=0.1) def testBicClusterAllocationSampleSimple1EuclideanByCore(self): metric = distance_metric(type_metric.EUCLIDEAN) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, metric=metric) def testBicClusterAllocationSampleSimple1EuclideanSquareByCore(self): metric = distance_metric(type_metric.EUCLIDEAN_SQUARE) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, metric=metric) def testBicClusterAllocationSampleSimple1MetricManhattanByCore(self): metric = distance_metric(type_metric.MANHATTAN) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, metric=metric) def testBicClusterAllocationSampleSimple1MetricChebyshevByCore(self): metric = distance_metric(type_metric.CHEBYSHEV) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, metric=metric) def testBicClusterAllocationSampleSimple1MetricMinkowski2ByCore(self): metric = distance_metric(type_metric.MINKOWSKI, degree=2) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, metric=metric) def testBicClusterAllocationSampleSimple1MetricMinkowski4ByCore(self): metric = distance_metric(type_metric.MINKOWSKI, degree=4) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, metric=metric) def testBicClusterAllocationSampleSimple1MetricCanberraByCore(self): metric = distance_metric(type_metric.CANBERRA) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, metric=metric) def testBicClusterAllocationSampleSimple1MetricChiSquareByCore(self): metric = distance_metric(type_metric.CHI_SQUARE) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, metric=metric) def testBicClusterAllocationSampleSimple1MetricGowerByCore(self): metric = distance_metric(type_metric.GOWER, data=read_sample(SIMPLE_SAMPLES.SAMPLE_SIMPLE1)) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, metric=metric) def testMndlClusterAllocationSampleSimple1MetricEuclideanByCore(self): metric = distance_metric(type_metric.EUCLIDEAN) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, metric=metric) def testMndlClusterAllocationSampleSimple1MetricEuclideanSquareByCore(self): metric = distance_metric(type_metric.EUCLIDEAN_SQUARE) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, metric=metric, alpha=0.1, beta=0.1) def testMndlClusterAllocationSampleSimple1MetricManhattanByCore(self): metric = distance_metric(type_metric.MANHATTAN) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, metric=metric) def testMndlClusterAllocationSampleSimple1MetricChebyshevByCore(self): metric = distance_metric(type_metric.CHEBYSHEV) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, metric=metric) def testMndlClusterAllocationSampleSimple1MetricMinkowski2ByCore(self): metric = distance_metric(type_metric.MINKOWSKI, degree=2) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, metric=metric) def testMndlClusterAllocationSampleSimple1MetricMinkowski4ByCore(self): metric = distance_metric(type_metric.MINKOWSKI, degree=4) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, metric=metric) def testMndlClusterAllocationSampleSimple1MetricCanberraByCore(self): metric = distance_metric(type_metric.CANBERRA) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, metric=metric) def testMndlClusterAllocationSampleSimple1MetricChiSquareByCore(self): metric = distance_metric(type_metric.CHI_SQUARE) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, metric=metric, alpha=0.1, beta=0.1, random_state=1000) def testMndlClusterAllocationSampleSimple1MetricGowerByCore(self): metric = distance_metric(type_metric.GOWER, data=read_sample(SIMPLE_SAMPLES.SAMPLE_SIMPLE1)) XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, metric=metric) def testBicClusterAllocationSampleSimple2ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, [[3.5, 4.8], [6.9, 7], [7.5, 0.5]], [10, 5, 8], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicMaxLessRealSampleSimple2ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, [[3.5, 4.8], [6.9, 7]], None, splitting_type.BAYESIAN_INFORMATION_CRITERION, 2, True) def testBicWrongStartClusterAllocationSampleSimple2ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, [[3.5, 4.8], [6.9, 7]], [10, 5, 8], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, random_state=1000) def testMndlClusterAllocationSampleSimple2ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, [[3.5, 4.8], [6.9, 7], [7.5, 0.5]], [10, 5, 8], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, alpha=0.1, beta=0.1) def testMndlWrongStartClusterAllocationSampleSimple2ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, [[3.5, 4.8], [6.9, 7]], [10, 5, 8], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, alpha=0.1, beta=0.1, random_state=1000) def testBicClusterAllocationSampleSimple3ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, [[0.2, 0.1], [4.0, 1.0], [2.0, 2.0], [2.3, 3.9]], [10, 10, 10, 30], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicClusterAllocationMaxLessRealSampleSimple3ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, [[4.0, 1.0], [2.0, 2.0], [2.3, 3.9]], None, splitting_type.BAYESIAN_INFORMATION_CRITERION, 3, True) def testBicWrongStartClusterClusterAllocationSampleSimple3ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, [[4.0, 1.0], [2.0, 2.0], [2.3, 3.9]], [10, 10, 10, 30], splitting_type.BAYESIAN_INFORMATION_CRITERION, 4, True) def testBicWrongStartClusterAllocationSampleSimple3ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, [[0.2, 0.1], [4.0, 1.0], [5.9, 5.9]], [10, 10, 10, 30], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, random_state=10, alpha=0.2, beta=0.2) def testMndlClusterAllocationSampleSimple3ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, [[0.2, 0.1], [4.0, 1.0], [2.0, 2.0], [2.3, 3.9]], [10, 10, 10, 30], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, alpha=0.2, beta=0.2) def testBicClusterAllocationSampleSimple4ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, [[1.5, 0.0], [1.5, 2.0], [1.5, 4.0], [1.5, 6.0], [1.5, 8.0]], [15, 15, 15, 15, 15], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicWrongStartClusterAllocationSampleSimple4ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, [[1.5, 0.0], [1.5, 2.0], [1.5, 4.0], [1.5, 6.0]], [15, 15, 15, 15, 15], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, random_state=1000) def testBicClusterAllocationMaxLessRealSampleSimple4ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, [[1.5, 4.0]], None, splitting_type.BAYESIAN_INFORMATION_CRITERION, 2, True) def testMndlClusterAllocationSampleSimple4ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, [[1.5, 0.0], [1.5, 2.0], [1.5, 4.0], [1.5, 6.0], [1.5, 8.0]], [15, 15, 15, 15, 15], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True) def testMndlWrongStartClusterAllocationSampleSimple4ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, [[1.5, 0.0], [1.5, 2.0], [1.5, 4.0], [1.5, 6.0]], [15, 15, 15, 15, 15], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True) def testMndlClusterAllocationMaxLessRealSampleSimple4ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, [[1.5, 4.0]], None, splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 2, True) def testBicClusterAllocationSampleSimple5ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, [[0.0, 1.0], [0.0, 0.0], [1.0, 1.0], [1.0, 0.0]], [15, 15, 15, 15], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicWrongStartClusterAllocationSampleSimple5ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, [[0.0, 1.0], [0.0, 0.0]], [15, 15, 15, 15], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testMndlClusterAllocationSampleSimple5ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, [[0.0, 1.0], [0.0, 0.0], [1.0, 1.0], [1.0, 0.0]], [15, 15, 15, 15], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True) def testMndlWrongStartClusterAllocationSampleSimple5ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, [[0.0, 1.0], [0.0, 0.0]], [15, 15, 15, 15], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, random_state=1000) def testBicClusterAllocationSampleSimple6ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE6, [[3.5, 3.5], [3.7, 3.7]], [20, 21], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicClusterAllocationSampleSimple6WithoutInitialByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE6, None, [20, 21], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testMndlClusterAllocationSampleSimple6ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE6, [[3.5, 3.5], [3.7, 3.7]], [20, 21], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True) def testMndlClusterAllocationSampleSimple6WithoutInitialByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE6, None, [20, 21], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True) def testBicClusterAllocationSampleSimple7ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, [[1], [2]], [10, 10], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicClusterAllocationSampleSimple7WithoutInitialByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, None, [10, 10], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testMndlClusterAllocationSampleSimple7ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, [[1], [2]], [10, 10], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, alpha=0.01, beta=0.01) def testMndlClusterAllocationSampleSimple7WithoutInitialByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, None, [10, 10], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, alpha=0.01, beta=0.01) def testBicClusterAllocationSampleSimple8ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE8, [[-2.0], [3.0], [6.0], [12.0]], [15, 30, 20, 80], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicClusterAllocationSampleSimple8WrongAmountCentersByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE8, [[3.0], [6.0]], [15, 30, 20, 80], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicClusterAllocationSampleSimple8WrongAmountCentersRandomStateByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE8, [[3.0], [6.0]], [15, 30, 20, 80], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, random_state=1000) def testMndlClusterAllocationSampleSimple8WrongAmountCenters(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE8, [[3.0], [6.0]], [15, 30, 20, 80], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True, alpha=0.2, beta=0.2) def testBicClusterAllocationSampleSimple8WrongAmountCentersRandomState(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE8, [[3.0], [6.0]], [15, 30, 20, 80], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, random_state=1000) def testMndlClusterAllocationSampleSimple8WrongAmountCentersRandomState(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE8, [[3.0], [6.0]], [15, 30, 20, 80], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True, random_state=1000) def testBicClusterAllocationSampleSimple9ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, [[3.0], [6.0]], [10, 20], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicClusterAllocationSampleSimple9WithoutInitialByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, None, [10, 20], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicClusterAllocationSampleSimple10ByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, [[0.0, 0.3], [4.5, 3.4], [10.1, 10.6]], [11, 11, 11], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicClusterAllocationSampleSimple10WithoutInitialByCore(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, None, [11, 11, 11], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicClusterAllocationSampleTwoDiamondsByCore(self): XmeansTestTemplates.templateLengthProcessData(FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, [[0.8, 0.2], [3.0, 0.0]], [400, 400], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testBicWrongStartClusterAllocationSampleTwoDiamondsByCore(self): XmeansTestTemplates.templateLengthProcessData(FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, [[0.8, 0.2]], [400, 400], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True) def testMndlClusterAllocationSampleTwoDiamondsByCore(self): XmeansTestTemplates.templateLengthProcessData(FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, [[0.8, 0.2], [3.0, 0.0]], [400, 400], splitting_type.MINIMUM_NOISELESS_DESCRIPTION_LENGTH, 20, True) def testClusterAllocationOneDimensionDataByCore(self): XmeansTestTemplates.templateClusterAllocationOneDimensionData(True) def testCoreInterfaceIntInputData(self): xmeans_instance = xmeans([[1], [2], [3], [20], [21], [22]], [[2], [21]], 5, ccore=True) xmeans_instance.process() assert len(xmeans_instance.get_clusters()) == 2 def testKmax05Amount5Offset02Initial01ByCore(self): XmeansTestTemplates.templateMaxAllocatedClusters(True, 10, 5, 2, 1, 5) def testKmax05Amount5Offset02Initial02ByCore(self): XmeansTestTemplates.templateMaxAllocatedClusters(True, 10, 5, 2, 2, 5) def testKmax05Amount10Offset02Initial03ByCore(self): XmeansTestTemplates.templateMaxAllocatedClusters(True, 10, 10, 2, 3, 5) def testKmax05Amount10Offset02Initial04ByCore(self): XmeansTestTemplates.templateMaxAllocatedClusters(True, 10, 10, 2, 4, 5) def testKmax05Amount10Offset02Initial05ByCore(self): XmeansTestTemplates.templateMaxAllocatedClusters(True, 10, 10, 2, 5, 5) def testKmax05Amount20Offset02Initial05ByCore(self): XmeansTestTemplates.templateMaxAllocatedClusters(True, 20, 10, 2, 5, 5) def testKmax05Amount01Offset01Initial04ByCore(self): XmeansTestTemplates.templateMaxAllocatedClusters(True, 1, 1000, 1, 4, 5) def testPredictOnePointByCore(self): centers = [[0.2, 0.1], [4.0, 1.0], [2.0, 2.0], [2.3, 3.9]] XmeansTestTemplates.templatePredict(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, centers, [[0.3, 0.2]], 4, [0], True) XmeansTestTemplates.templatePredict(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, centers, [[4.1, 1.1]], 4, [1], True) XmeansTestTemplates.templatePredict(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, centers, [[2.1, 1.9]], 4, [2], True) XmeansTestTemplates.templatePredict(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, centers, [[2.1, 4.1]], 4, [3], True) def testPredictTwoPointsByCore(self): centers = [[0.2, 0.1], [4.0, 1.0], [2.0, 2.0], [2.3, 3.9]] XmeansTestTemplates.templatePredict(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, centers, [[0.3, 0.2], [2.1, 1.9]], 4, [0, 2], True) XmeansTestTemplates.templatePredict(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, centers, [[2.1, 4.1], [2.1, 1.9]], 4, [3, 2], True) def test_random_state_1_by_core(self): XmeansTestTemplates.random_state(True, 2, 10, 1) def test_random_state_2_by_core(self): XmeansTestTemplates.random_state(True, 2, 10, 2) def test_random_state_4_by_core(self): XmeansTestTemplates.random_state(True, 2, 10, 4) def test_random_state_32_by_core(self): XmeansTestTemplates.random_state(True, 2, 10, 32) def test_random_state_1024_by_core(self): XmeansTestTemplates.random_state(True, 2, 10, 1024) def test_random_state_65536_by_core(self): XmeansTestTemplates.random_state(True, 2, 10, 65536) @remove_library def testProcessingWhenLibraryCoreCorrupted(self): XmeansTestTemplates.templateLengthProcessData(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, [[3.7, 5.5], [6.7, 7.5]], [5, 5], splitting_type.BAYESIAN_INFORMATION_CRITERION, 20, True)