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Group Clustering

✓ Published0🌍 Public
TThanaporn-sk
Last edited Mar 21, 2017
Created on Mar 21, 2017

This example demonstrates interactive group clustering of 12 data points, each representing an item with attributes like Location, Group, Class, and Type from a CSV file. Users can click toolbar buttons to split the circles by any categorical variable, causing them to separate into distinct clusters via force-directed simulation. The visualization uses d3.forceSimulation with collide, many-body, and x/y forces for positioning, while d3.drag enables manual repositioning of individual circles. The SVG rendering colors each node using d3.scaleOrdinal with a categorical color scheme, and selecting a circle highlights it by removing its fill.

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forked from <a href='http://bl.ocks.org/SpaceActuary/'>SpaceActuary</a>'s block: <a href='http://bl.ocks.org/SpaceActuary/d6b5ca8e5fb17842d652d0de21e88a05'>Group Clustering</a>

mit Licensed

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