This project used all techninques of clustring in scikit learn library with example of data, we used the latest version of scikit learn.
The Notebook folder contains the clustring algorithms that used in this project:
- K-means
- MiniBatch-K-means
- Bisecting-K-means
- Hierarchical-Clustering(Agglomerative)
- DBscan
- Mean-shift
- Optics
- Spectral-clustering
- Spectral-biclustering
- Affinity-Propagation
Each clustring algorithm was Evaluated with the following metrics:
- Silhouette Score
- Calinski-Harabasz Score
- Davies-Bouldin Score
- python >=3.9
To run this project first install the dependencies by running the following command:
$ pip install -r requirements.txt