jtBaseApp/node_modules/density-clustering/lib/Utils.js

function Utils() {

}


KMEANS.prototype.getRandomVector = function(extremes) {
  var maxDim = extremes.length;
  var x = [];
  var r = 0;
  
  // calculate radius of n-sphere which covers all points in dataset
  var nSphereRadius = 0;
  for (var i = 0; i < maxDim; i++) {
    var extreme = extremes[i];
    var er = Math.max(extreme.center - extreme.min, extreme.center - extreme.max);
    if (er > nSphereRadius)
      nSphereRadius = er;
  }
  
  for (var i = 0; i < maxDim; i++) {
    var val = (Math.random() * 2) - 1;
    // adjust to radius of n-sphere
    x.push(val);
    r += val * val;
  }
      
  r = Math.sqrt(r);
  
  for (var i = 0; i < maxDim; i++) {
    x[i] /= r;
    // resize to fit n-sphere
    x[i] *= nSphereRadius;
    x[i] += extremes[i].center;
  }
  
  return x;
}