Kmeans from A to Z

For this project, I implemented the Kmeans as well as the kmeans++ algorithm from scratch. I used five data sets to showcase some applications and results of those algorithms. Further, after uncovering the drawbacks of Kmeans, I implemented a ‘Spectral clustering’ using the random forest (RF) technique paired with kmeans++ to overcome the ‘discontinuity of clusters’ issue. Lastly, I addressed some limitations and possible improvements for future research reference.