Cluster Tool is a user-friendly solution that expedites the clustering process. It provides a simple interface for creating clustered data and models, supporting popular algorithms such as KMeans, DBSCAN, and AgglomerativeClustering. This tool is specifically designed to accelerate and simplify the clustering experience, making it accessible for beginners in data science.
- Python 3.10+
- Jupyter Notebook
git clone https://github.com/Familenko/cluster_tool.git
cd path.to.cluster_tool
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
from cluster_tool import Cluster
cl = Cluster(df)
Detailed description of the methods and examples of use can be found in the notebook