Visualization of the K-Means clustering algorithm

Demo

KMeansDemo.mp4

This is a simple web application to demonstrate the K-Means clustering algorithm, which is used for clustering data into groups based on similarity

Features

• Data generation: Users can directly draw their own dataset on the canvas, or choose from predefined datasets.
• Customization: Users can specify the number of clusters (K).

Tehnologies used

• Vanilla HTML, CSS for structure
• Typescript for interactive functionality and algorithm implementation
• Canvas API for drawing and visualizing the data