K-Means-Clustering

The implementation of this Algorithm only uses Numpy and Python.

It uses a "Naive Sharding Centroid Initialization Method" to increase computational speed by initializing the centroids in a way that makes convergence quicker.

For further reading on this please refer to this link.

DBSCAN

The implemantion of this algorithm uses Python and the K-D-Tree from sklearn.