This repository showcases how to apply k-Means on the image dataset MNIST. In particular, how to load the data, apply k-Means, visualize the results, and how to evaluate it.
You can find the corresponding post on Medium here.
The notebook is written in Python 3.10. I suggest to install Anaconda.
To install the same environment you can simply run conda env create -f environment.yml.
Alternatively, you can lookup the dependencies in the environment.yml file and install them, e.g., using pip.
Then just run jupyter-lab and open the kmeans_MNIST.ipynb notebook.