Simple clustering demo using clusterfck.
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August 29, 2015 13:59
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Data clustering
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| // Number of demo points | |
| var N = 40; | |
| // Merging threshold | |
| var threshold = 0.05; | |
| // Generate a random array of items | |
| var items = _.range(N).map(Math.random); | |
| var width = 600; | |
| var height = 20; | |
| var margin = 20; | |
| var x = d3.scale.linear() | |
| .range([margin, width - margin]); | |
| var $svg = d3.select('#chart').attr('width', width).attr('height', height); | |
| var $layer1 = $svg.append('g'); | |
| var $layer2 = $svg.append('g'); | |
| var $circle = $layer2.selectAll('circle'); | |
| $circle.data(items).enter().append('circle') | |
| .attr('cx', x) | |
| .attr('cy', height * 0.75) | |
| .attr('r', 2); | |
| // Generate the tree form of the clusters | |
| var clusterTrees = clusterfck.hcluster( | |
| items.map(function (n) { | |
| return [n] | |
| }), | |
| clusterfck.MAX_DISTANCE, | |
| clusterfck.COMPLETE_LINKAGE, | |
| threshold); | |
| // Convert the tree into a more digestible format | |
| var clusters = clusterTrees.map(flattenTree).map(function (cluster) { | |
| return cluster.map(function (n) { | |
| return { | |
| min: n[0], | |
| max: n[0], | |
| count: 1 | |
| }; | |
| }).reduce(function (a, b) { | |
| return { | |
| min: Math.min(a.min, b.min), | |
| max: Math.max(a.max, b.max), | |
| count: a.count + b.count | |
| }; | |
| }); | |
| }); | |
| // Draw the clusters | |
| var $cluster = $layer1.selectAll('rect').data(clusters) | |
| .enter(); | |
| $cluster.append('rect') | |
| .attr('x', function (d) { | |
| return x(d.min); | |
| }) | |
| .attr('y', 0) | |
| .attr('width', function (d) { | |
| return x(d.max) - x(d.min) | |
| }) | |
| .attr('height', height); | |
| $cluster.append('text') | |
| .attr('x', function (d) { | |
| return x((d.min + d.max) / 2); | |
| }) | |
| .attr('y', height * 0.5) | |
| .text(function (d) { | |
| return d.count | |
| }); | |
| // Utility function for converting a left/right tree | |
| // into an array, recursively | |
| function flattenTree(t) { | |
| if (t.size === 1) { | |
| return [t.value]; | |
| } | |
| return _.flatten([flattenTree(t.left), flattenTree(t.right)], true); | |
| } |
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| <html> | |
| <head> | |
| <title>Clustering demo</title> | |
| <script type='text/javascript' src="http://harthur.github.io/clusterfck/demos/colors/clusterfck.js"></script> | |
| <script type='text/javascript' src="//cdnjs.cloudflare.com/ajax/libs/lodash.js/2.4.1/lodash.min.js"></script> | |
| <script type='text/javascript' src="//cdnjs.cloudflare.com/ajax/libs/jquery/2.1.0/jquery.min.js"></script> | |
| <script type='text/javascript' src="//cdnjs.cloudflare.com/ajax/libs/d3/3.4.5/d3.min.js"></script> | |
| <style type='text/css'> | |
| circle { | |
| fill: black; | |
| } | |
| rect { | |
| fill: white; | |
| stroke: steelblue; | |
| } | |
| text { | |
| text-anchor: middle; | |
| font: 8px sans-serif; | |
| } | |
| body { | |
| text-align: center; | |
| padding-top: 60px; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <svg id="chart"></svg> | |
| <script src="clustering.js"></script> | |
| </body> | |
| </html> | |
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