File: somsc_examples.py

package info (click to toggle)
python-pyclustering 0.10.1.2-2
  • links: PTS, VCS
  • area: main
  • in suites: bookworm, forky, trixie
  • size: 11,128 kB
  • sloc: cpp: 38,888; python: 24,311; sh: 384; makefile: 105
file content (91 lines) | stat: -rwxr-xr-x 2,482 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
"""!

@brief Examples of usage and demonstration of abilities of SOM-SC algorithm in cluster analysis.

@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause

"""


from pyclustering.samples.definitions import SIMPLE_SAMPLES, FCPS_SAMPLES;

from pyclustering.cluster import cluster_visualizer;
from pyclustering.cluster.somsc import somsc;

from pyclustering.utils import read_sample;
from pyclustering.utils import timedcall;

def template_clustering(path, amount_clusters, epouch = 100, ccore = True):
    sample = read_sample(path);
    
    somsc_instance = somsc(sample, amount_clusters, epouch, ccore);
    (ticks, _) = timedcall(somsc_instance.process);
    
    clusters = somsc_instance.get_clusters();
    
    print("Sample: ", path, "\t\tExecution time: ", ticks, "\n");

    visualizer = cluster_visualizer();
    visualizer.append_clusters(clusters, sample);
    visualizer.show();


def cluster_sample1():
    template_clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2);
    
def cluster_sample2():
    template_clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 3);
    
def cluster_sample3():
    template_clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 4);
    
def cluster_sample4():
    template_clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, 5);
    
def cluster_sample5():
    template_clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 6);

def cluster_elongate():
    template_clustering(SIMPLE_SAMPLES.SAMPLE_ELONGATE, 2);

def cluster_lsun():
    template_clustering(FCPS_SAMPLES.SAMPLE_LSUN, 3);
    
def cluster_target():
    template_clustering(FCPS_SAMPLES.SAMPLE_TARGET, 6);

def cluster_two_diamonds():
    template_clustering(FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, 2);

def cluster_wing_nut():
    template_clustering(FCPS_SAMPLES.SAMPLE_WING_NUT, 2); 
    
def cluster_chainlink():
    template_clustering(FCPS_SAMPLES.SAMPLE_CHAINLINK, 2);
    
def cluster_hepta():
    template_clustering(FCPS_SAMPLES.SAMPLE_HEPTA, 7); 
    
def cluster_tetra():
    template_clustering(FCPS_SAMPLES.SAMPLE_TETRA, 4);
    
def cluster_engy_time():
    template_clustering(FCPS_SAMPLES.SAMPLE_ENGY_TIME, 2);


cluster_sample1();
cluster_sample2();
cluster_sample3();
cluster_sample4();
cluster_sample5();
cluster_elongate();
cluster_lsun();
cluster_target();
cluster_two_diamonds();
cluster_wing_nut();
cluster_chainlink();
cluster_hepta();
cluster_tetra();
cluster_engy_time();