D3 Examples - test-tsne

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<!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>
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<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]]
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tsne.initDataRaw(dists);
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for(var k = 0; k < 500; k++) {
  tsne.step(); // every time you call this, solution gets better
  
  
  
}
​
var Y = tsne.getSolution(); // Y is an array of 2-D points that you can plot
    
console.log("Y[0]")
console.log("test: "+typeof(Y))
console.log(Y[0][0])
 svg.selectAll("dot")
        .data(Y)
      .enter().append("circle")
        .attr("r", 3.5)
        .attr("cx", function(d,i) { return Y[i][0]+100; })
        .attr("cy", function(d,i) { return Y[i][1]+100; });
        
    //function(d,i) { return y(d.close); }
}
)
    
  </script>
  
  
  
  
</body>
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