45 lines
1.3 KiB
JavaScript
45 lines
1.3 KiB
JavaScript
/**
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* Initialize the t-SNE algorithm and start simulation.
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*/
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function starttSNE () {
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springForce = false;
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simulation.stop();
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p1 = performance.now();
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simulation
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.alphaDecay(1 - Math.pow(0.001, 1 / ITERATIONS))
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.force(forceName, d3.tSNE()
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// Set the parameter for the algorithm (optional).
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.perplexity(PERPLEXITY)
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.learningRate(LEARNING_RATE)
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// The distance function that will be used to calculate distances
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// between nodes.
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.distance(function (s, t) {
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return distanceFunction(s, t, props, norm);
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}));
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// Restart the simulation.
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console.log(simulation.force(forceName).perplexity(), simulation.force(forceName).learningRate());
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simulation.alpha(1).restart();
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}
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/**
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* Initialize the Barnes-Hut algorithm and start simulation.
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*/
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function startBarnesHutSimulation () {
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console.log('startBarnesHutSimulation');
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alreadyRanIterations = 0;
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manualStop = false;
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springForce = false;
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p1 = performance.now();
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simulation.alphaDecay(1 - Math.pow(0.001, 1 / ITERATIONS))
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.on('tick', ticked)
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.on('end', ended)
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.force(forceName, d3.forceBarnesHut()
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// The distance function that will be used to calculate distances
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// between nodes.
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.distance(function (s, t) { return distanceFunction(s, t, props, norm); }));
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// Restart the simulation.
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simulation.alpha(1).restart();
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}
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