A thousand colored circles of varying sizes drift on a canvas, continuously regrouping into distinct clusters as they move. The example runs a K-Means clustering algorithm inside a d3.forceSimulation loop, with each tick reassigning every node to its nearest of 20 cluster centers and then moving those centers toward their group’s barycenter. Rendered using Canvas 2D, the visualization combines force-based collision detection and positioning forces with the clustering logic, displaying the emergent dynamic partitioning of the dataset in real time.