Factual package intelligence from PyPI

elbowK 1.0 package intelligence

Automatically find the optimal number of clusters (k) for KMeans using the Elbow Method and visualize the result.

pip install elbowk

Current version
1.0
Python requirement
>=3.7
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
7.1 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

elbowK dependencies

PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scikit-learn
  2. matplotlib
  3. pandas
  4. kneed

Compatibility and release files

elbowK publishes 1 wheel and 1 source archive for version 1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .