Skip to main content

Python Machine Learning Clustering Library

Project description

KlusterPy

KlusterPy is a simple machine learning library that provides clustering algorithm such as K-Means, K-Medoids, DBSCAN, and Agglomerative Clustering.

Dependencies

  1. NumPy
  2. Python >= 3

Installation

pip install klusterpy

Example Code

from klusterpy.cluster.dbscan import DBSCAN
from sklearn import datasets
import numpy as np
import pandas as pd

iris_data = datasets.load_iris()
iris_df = pd.DataFrame(data=np.c_[iris_data['data']], columns=iris_data['feature_names'])

dbscan = DBSCAN(epsilon=0.42, min_pts=5).fit(iris_df.values)
dbscan.labels

Contributors


Dewita Sonya
13515021

Erick Wijaya
13515057

Kezia Suhendra
13515063

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

klusterpy-0.0.2.tar.gz (5.2 kB view details)

Uploaded Source

Built Distribution

klusterpy-0.0.2-py3-none-any.whl (7.1 kB view details)

Uploaded Python 3

File details

Details for the file klusterpy-0.0.2.tar.gz.

File metadata

  • Download URL: klusterpy-0.0.2.tar.gz
  • Upload date:
  • Size: 5.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.7.0

File hashes

Hashes for klusterpy-0.0.2.tar.gz
Algorithm Hash digest
SHA256 94376163481d247cc052649832546b13b098b73300ce3077af56e79618f63bc3
MD5 2ec85bc290b7bc6c9d8a0fc8b773eeb0
BLAKE2b-256 d461616151c28ed062c8dec7b4548c0ef74c9016b1190ffee9a90e90586e9cd0

See more details on using hashes here.

File details

Details for the file klusterpy-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: klusterpy-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 7.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.7.0

File hashes

Hashes for klusterpy-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 86064b4fb9f86e0c13dcfe8e71288f0226d910e28187fd1c1aa735f7e48c8654
MD5 06d826355764f17502d17089072ad642
BLAKE2b-256 a33f0c19a51658a9727bdd32eb1dd7a06752b3e2b2c145de6b5049e54a29dc1d

See more details on using hashes here.

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