{"version":"1.0","type":"rich","title":"KMeans clustering","description":"This example demonstrates KMeans clustering on a small dataset of six points loaded from a CSV file. It shows how points are iteratively assigned to one of three clusters, with colored hulls drawn around each group and centroids recalculated until a local minimum cost is reached. The visualization uses D3.js v4 with a React framework, rendering SVG circles and polygon hulls with animated transitions. The code employs `d3.csv`, `d3.polygonHull`, `d3.scaleLinear`, and `d3.interval` to animate the clustering process, displaying the iteration count in the final state.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/c8450d4074da47758a50064b92564050?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}