Basics-of-clustering

Hey all!! This repository contains .py (Python) and .ipynb (Jupyter Notebok) files for four popular clustering algorithms. These four clustering algorithms are

• k-means clustering
• Fuzzy c-means clustering
• Hierarchical Clustering
• DBSCAN

Also to run the code, dataset is also provided in Data_set folder. It contains three types of datasets, one is synthetic datset, other is gene expression dataset and finally the last one is the sequence dataset. For better understanding, I suggest to run .ipynb files in Jupyter Notebook or Google Colab.

Prerequisities

• Python 3.6+
• sklearn
• matplotlib 2.0+
• numpy
• scikit-fuzzy

Contribution

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.