Skip to main content

Some functions for clustering

Project description

Some functions for clustering

Tested against Windows / Python 3.11 / Anaconda

pip install clusterzeug

from clusterzeug import (
    birchcluster,
    gaussianmixture,
    opticscluster,
    hdbscancluster,
    dbscan,
    agglomerativeclustering,
    spectralclustering,
    kmeanscluster,
    minibatchkmeanscluster,
    afinity_propagation,
    mean_shift,
)
import numpy as np
import random
data = np.array(
    [[random.randint(1, 1000), random.randint(1, 1000)] for _ in range(100)],
    dtype=np.int64,
)
a1 = birchcluster(data, n_clusters=10)
a2 = gaussianmixture(data, n_components=5)
a3 = opticscluster(data, min_samples=5)
a4 = hdbscancluster(data, min_cluster_size=5)
a5 = dbscan(data, eps=0.5, min_samples=5)
a6 = agglomerativeclustering(data, n_clusters=10)
a7 = spectralclustering(data, n_clusters=10)
res = kmeanscluster(data, n_clusters=10)
print(res)
res2 = minibatchkmeanscluster(data, n_clusters=10)
print(res2)
aff = afinity_propagation(data, damping=0.5, preference=-10)
print(aff)
ms = mean_shift(data,bandwidth=2.0)
print(ms)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

clusterzeug-0.10.tar.gz (21.5 kB view hashes)

Uploaded Source

Built Distribution

clusterzeug-0.10-py3-none-any.whl (22.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page