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"""!
@brief Examples of usage and demonstration of abilities of CURE algorithm in cluster analysis.
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
"""
from pyclustering.utils import read_sample
from pyclustering.utils import timedcall
from pyclustering.samples.definitions import SIMPLE_SAMPLES
from pyclustering.samples.definitions import FCPS_SAMPLES
from pyclustering.cluster import cluster_visualizer
from pyclustering.cluster.cure import cure
def template_clustering(number_clusters, path, number_represent_points=5, compression=0.5, draw=True, ccore_flag=True):
sample = read_sample(path)
cure_instance = cure(sample, number_clusters, number_represent_points, compression, ccore_flag)
(ticks, _) = timedcall(cure_instance.process)
clusters = cure_instance.get_clusters()
representors = cure_instance.get_representors()
means = cure_instance.get_means()
print("Sample: ", path, "\t\tExecution time: ", ticks, "\n")
#print([len(cluster) for cluster in clusters])
if draw is True:
visualizer = cluster_visualizer()
visualizer.append_clusters(clusters, sample)
for cluster_index in range(len(clusters)):
visualizer.append_cluster_attribute(0, cluster_index, representors[cluster_index], '*', 10)
visualizer.append_cluster_attribute(0, cluster_index, [ means[cluster_index] ], 'o')
visualizer.show()
def cluster_sample1():
template_clustering(2, SIMPLE_SAMPLES.SAMPLE_SIMPLE1)
def cluster_sample2():
template_clustering(3, SIMPLE_SAMPLES.SAMPLE_SIMPLE2)
def cluster_sample3():
template_clustering(4, SIMPLE_SAMPLES.SAMPLE_SIMPLE3)
def cluster_sample4():
template_clustering(5, SIMPLE_SAMPLES.SAMPLE_SIMPLE4)
def cluster_sample5():
template_clustering(4, SIMPLE_SAMPLES.SAMPLE_SIMPLE5)
def cluster_sample6():
template_clustering(2, SIMPLE_SAMPLES.SAMPLE_SIMPLE6)
def cluster_elongate():
template_clustering(2, SIMPLE_SAMPLES.SAMPLE_ELONGATE)
def cluster_lsun():
template_clustering(3, FCPS_SAMPLES.SAMPLE_LSUN, 5, 0.3)
def cluster_target():
template_clustering(6, FCPS_SAMPLES.SAMPLE_TARGET, 10, 0.3)
def cluster_two_diamonds():
template_clustering(2, FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, 5, 0.3)
def cluster_wing_nut(ccore_flag=True):
template_clustering(2, FCPS_SAMPLES.SAMPLE_WING_NUT, 4, 0.3, ccore_flag=ccore_flag)
def cluster_chainlink():
template_clustering(2, FCPS_SAMPLES.SAMPLE_CHAINLINK, 30, 0.2)
def cluster_hepta():
template_clustering(7, FCPS_SAMPLES.SAMPLE_HEPTA)
def cluster_tetra():
template_clustering(4, FCPS_SAMPLES.SAMPLE_TETRA)
def cluster_engy_time():
template_clustering(2, FCPS_SAMPLES.SAMPLE_ENGY_TIME, 50, 0.5)
def cluster_golf_ball():
template_clustering(1, FCPS_SAMPLES.SAMPLE_GOLF_BALL)
def cluster_atom():
"Impossible to obtain parameters that satisfy us, it seems to me that compression = 0.2 is key parameter here, because results of clustering doesn't depend on number of represented points, except 0."
"Thus the best parameters is following: number of points for representation: [5, 400]; compression: [0.2, 0.204]"
"Results of clustering is not so dramatically, but clusters are not allocated properly"
template_clustering(2, FCPS_SAMPLES.SAMPLE_ATOM, 20, 0.2)
def experiment_execution_time(draw, ccore):
template_clustering(3, FCPS_SAMPLES.SAMPLE_LSUN, 5, 0.3, draw, ccore)
template_clustering(6, FCPS_SAMPLES.SAMPLE_TARGET, 10, 0.3, draw, ccore)
template_clustering(2, FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, 5, 0.3, draw, ccore)
template_clustering(2, FCPS_SAMPLES.SAMPLE_WING_NUT, 1, 1, draw, ccore)
template_clustering(2, FCPS_SAMPLES.SAMPLE_CHAINLINK, 5, 0.5, draw, ccore)
template_clustering(4, FCPS_SAMPLES.SAMPLE_TETRA, 5, 0.5, draw, ccore)
template_clustering(7, FCPS_SAMPLES.SAMPLE_HEPTA, 5, 0.5, draw, ccore)
template_clustering(2, FCPS_SAMPLES.SAMPLE_ATOM, 20, 0.2)
cluster_sample1()
cluster_sample2()
cluster_sample3()
cluster_sample4()
cluster_sample5()
cluster_sample6()
cluster_elongate()
cluster_lsun()
cluster_target()
cluster_two_diamonds()
cluster_wing_nut()
cluster_chainlink()
cluster_hepta()
cluster_tetra()
cluster_atom()
cluster_engy_time()
cluster_golf_ball()
experiment_execution_time(True, False)
experiment_execution_time(True, True)
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