annoviko / pyclustering

from pyclustering.core.pyclustering_package import pyclustering_package, package_extractor, package_builder;

def xmeans(sample, centers, kmax, tolerance, criterion):

    pointer_data = package_builder(sample, c_double).create();

    pointer_centers = package_builder(centers, c_double).create();

    ccore = ccore_library.get();

    ccore.xmeans_algorithm.restype = POINTER(pyclustering_package);

    package = ccore.xmeans_algorithm(pointer_data, pointer_centers, c_size_t(kmax), c_double(tolerance), c_uint(criterion));

    result = package_extractor(package).extract();

    ccore.free_pyclustering_package(package);

    return result[0], result[1];

from pyclustering.core.pyclustering_package import pyclustering_package, package_extractor, package_builder;

def dbscan(sample, eps, min_neighbors, data_type):

    pointer_data = package_builder(sample, c_double).create();

    ccore = ccore_library.get();

    ccore.dbscan_algorithm.restype = POINTER(pyclustering_package);

    package = ccore.dbscan_algorithm(pointer_data, c_double(eps), c_size_t(min_neighbors), c_size_t(data_type));

    list_of_clusters = package_extractor(package).extract();

    ccore.free_pyclustering_package(package);

    noise = list_of_clusters[len(list_of_clusters) - 1];

    list_of_clusters.remove(noise);

    return (list_of_clusters, noise);

from pyclustering.core.pyclustering_package import pyclustering_package, package_extractor, package_builder;

def mbsas(sample, amount, threshold, metric_pointer):

    pointer_data = package_builder(sample, c_double).create();

    ccore = ccore_library.get();

    ccore.mbsas_algorithm.restype = POINTER(pyclustering_package);

    package = ccore.mbsas_algorithm(pointer_data, c_size_t(amount), c_double(threshold), metric_pointer);

    result = package_extractor(package).extract();

    ccore.free_pyclustering_package(package);

    return result[0], result[1];

from pyclustering.core.pyclustering_package import pyclustering_package, package_extractor, package_builder;

def bsas(sample, amount, threshold, metric_pointer):

    pointer_data = package_builder(sample, c_double).create();

    ccore = ccore_library.get();

    ccore.bsas_algorithm.restype = POINTER(pyclustering_package);

    package = ccore.bsas_algorithm(pointer_data, c_size_t(amount), c_double(threshold), metric_pointer);

    result = package_extractor(package).extract();

    ccore.free_pyclustering_package(package);

    return result[0], result[1];

from pyclustering.core.pyclustering_package import pyclustering_package, package_extractor, package_builder;

def ttsas(sample, threshold1, threshold2, metric_pointer):

    pointer_data = package_builder(sample, c_double).create();

    ccore = ccore_library.get();

    ccore.ttsas_algorithm.restype = POINTER(pyclustering_package);

    package = ccore.ttsas_algorithm(pointer_data, c_double(threshold1), c_double(threshold2), metric_pointer);

    result = package_extractor(package).extract();

    ccore.free_pyclustering_package(package);

    return result[0], result[1];