Python show_clusters Exemples

Exemple #1

Fichier : bsas_templates.py Projet : zgsxwsdxg/pyclustering

    def visualizing(path, amount, threshold, ccore):
        sample = read_sample(path)
        bsas_instance = bsas(sample, amount, threshold, ccore=ccore)
        bsas_instance.process()

        bsas_visualizer.show_clusters(sample, bsas_instance.get_clusters(),
                                      bsas_instance.get_representatives())

Exemple #2

Fichier : mbsas_examples.py Projet : zzp-seeker/pyclustering

def template_clustering(path, amount, threshold, **kwargs):
    metric = kwargs.get('metric', distance_metric(type_metric.EUCLIDEAN_SQUARE));
    ccore = kwargs.get('ccore', False);
    draw = kwargs.get('draw', True);

    sample = read_sample(path);

    print("Sample: ", path);

    mbsas_instance = mbsas(sample, amount, threshold, ccore=ccore, metric=metric);
    mbsas_instance.process();

    clusters = mbsas_instance.get_clusters();
    representatives = mbsas_instance.get_representatives();

    if draw is True:
        bsas_visualizer.show_clusters(sample, clusters, representatives);

Exemple #3

Fichier : bsas_examples.py Projet : annoviko/pyclustering

def template_clustering(path, amount, threshold, **kwargs):
    metric = kwargs.get('metric', distance_metric(type_metric.EUCLIDEAN_SQUARE));
    ccore = kwargs.get('ccore', False);
    draw = kwargs.get('draw', True);

    sample = read_sample(path);

    print("Sample: ", path);

    bsas_instance = bsas(sample, amount, threshold, ccore=ccore, metric=metric);
    bsas_instance.process();

    clusters = bsas_instance.get_clusters();
    representatives = bsas_instance.get_representatives();

    if draw is True:
        bsas_visualizer.show_clusters(sample, clusters, representatives);

Exemple #4

Fichier : ttsas_examples.py Projet : 398575911/MultiVesselControl

def template_clustering(path, threshold1, threshold2, **kwargs):
    metric = kwargs.get('metric',
                        distance_metric(type_metric.EUCLIDEAN_SQUARE))
    ccore = kwargs.get('ccore', False)
    draw = kwargs.get('draw', True)

    sample = read_sample(path)

    print("Sample: ", path)

    ttsas_instance = ttsas(sample,
                           threshold1,
                           threshold2,
                           ccore=ccore,
                           metric=metric)
    ttsas_instance.process()

    clusters = ttsas_instance.get_clusters()
    representatives = ttsas_instance.get_representatives()

    if draw is True:
        bsas_visualizer.show_clusters(sample, clusters, representatives)

Exemple #5

Fichier : bsas_templates.py Projet : annoviko/pyclustering

    def visualizing(path, amount, threshold, ccore):
        sample = read_sample(path);
        bsas_instance = bsas(sample, amount, threshold, ccore=ccore);
        bsas_instance.process();

        bsas_visualizer.show_clusters(sample, bsas_instance.get_clusters(), bsas_instance.get_representatives());