Factual package intelligence from PyPI

cdc-cluster 0.2.3 package intelligence

A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind th

pip install cdc-cluster

Current version
0.2.3
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
921.9 KiB
Release history
5 releases with files
Median release cadence
19 days

cdc-cluster dependencies

PyPI declares 1 unique dependency rule for this release. Environment markers are shown when supplied by the project.

  1. scikit-learn >=1.3.2

Compatibility and release files

cdc-cluster publishes 1 wheel and 1 source archive for version 0.2.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .