vaisakhimishra/clustering-data-with-d3

Implementation of a tutorial for K-means clutering in D3

K-means Clustering is one of the simplest unsupervised algorithm used to cluster unlabeled data. It is usually one of the first clustering algorithms taught to a student wishing to learn machine learning algorithms. The purpose of creating this interactive tutorial was to teach the function of k-means algorithm in a more visual and intuitive way, rather than the traditional textual way. Our Martini glass structured tutorial first gives the reader, a brief step by step and easy to understand tutorial and then allows the user to experiment with the parameters used in k-means clustering algorithm.

Check out the tutorial at - https://vaisakhimishra.github.io/Clustering-Data-with-D3/