Provides a step-by-step visualisation of the k-means algorithm for unsupervised clustering of 2D Data. Click on the canvas to add points and choose your desired number of clusters (k). You can then run the algorithm step-by-step manually using "Assign Clusters" and "Recenter Centroids" or automatically where there's a half second delay between each step using "Autostart". "Place centroids randomly" resets the clusters and centroids.
The javascript files are compiled using browserify.
- NodeJS
- Browserify:
npm install -g browserify
- install dependencies (currently only jquery):
npm install - compile JS:
browserify js/main.js -o js/bundle.js