clusteval is a python package that is developed to evaluate detected clusters and return the cluster labels that have most optimal clustering tendency, Number of clusters and clustering quality. Multiple evaluation strategies are implemented for the evaluation; silhouette, dbindex, and derivative, and four clustering methods can be used: agglomerative, kmeans, dbscan and hdbscan.
⭐️ Star this repo if you like it ⭐️
On the documentation pages you can find detailed information about the working of the clusteval with many examples.
conda create -n env_clusteval python=3.8
conda activate clusteval
pip install clusteval
from clusteval import clusteval
A structured overview of all examples are now available on the documentation pages.
Please cite clusteval in your publications if this is useful for your research (see right top for citation).
FAQs
clusteval is a python package for unsupervised cluster validation.
We found that clusteval demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.