{"version":"1.0","type":"rich","title":"kmean cartocss style","description":"This example uses CartoCSS to style a map of points that have been classified by a k-means clustering algorithm. It assigns a distinct marker fill color to each cluster based on an `id` property, with default orange for unclassified points. The rendering approach applies marker properties like width, opacity, and line styling through the CartoCSS styling language, which is used by mapping libraries such as CartoDB. The code demonstrates how conditional rules can visually separate spatial clusters.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-3875093?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}