https://github.com/shamikaredkar/kmeans-algorithm-visualizer

The K-Means Visualizer is an interactive web application designed to help users understand and visualize the K-Means clustering algorithm. Through an intuitive interface, users can experiment with different numbers of data points and clusters, and observe how the algorithm iteratively updates centroids and assigns data points to clusters.

bulma css html interactive-visualizations interactive-webpage javascript jquery kmeans kmeans-clustering kmeans-clustering-algorithm machine-learning machine-learning-algorithms ui-design

Last synced: 07 Jan 2026