This project generates and visualizes synthetic data using the make_blobs function from sklearn and applies a custom clustering algorithm to identify clusters in the data.
- Generates synthetic data with
make_blobs. - Implements a custom clustering algorithm using
pairwise_distances_argmin. - Visualizes the clustering results using
matplotlib.
To run this project, you need to have Python installed along with the required packages. You can install the dependencies using:
pip install -r requirements.txt
git clone https://github.com/your-username/my-blobs-project.git
cd my-blobs-project
python custom_clustering.py