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"""!
@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)
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