test-tsne

<!DOCTYPE html>
<head>
  <meta charset="utf-8">
  <script src="https://d3js.org/d3.v4.min.js"></script>
  <script src="tsne.js"></script>
  <style>
    body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
  </style>
</head>

<body>
  <script>
    // Feel free to change or delete any of the code you see in this editor!
    var svg = d3.select("body").append("svg")
      .attr("width", 960)
      .attr("height", 500)

var opt = {}
opt.epsilon = 10; // epsilon is learning rate (10 = default)
opt.perplexity = 30; // roughly how many neighbors each point influences (30 = default)
opt.dim = 2; // dimensionality of the embedding (2 = default)

var tsne = new tsnejs.tSNE(opt); // create a tSNE instance

// initialize data. Here we have 3 points and some example pairwise dissimilarities
    
    
d3.csv("data.csv", function(data) {

dists = [[0,2,3],[0,4,6]]

tsne.initDataRaw(dists);

for(var k = 0; k < 500; k++) {
  tsne.step(); // every time you call this, solution gets better
  
  
  
}

https://d3js.org/d3.v4.min.js