skmeans/dist/node/distance.js

Super fast simple k-means and k-means++ clustering for unidimiensional and multidimensional data. Works in node and browser

"use strict";

module.exports = {
  /**
   * Euclidean distance
   */
  eudist: function eudist(v1, v2) {
    var len = v1.length;
    var sum = 0;

    for (var i = 0; i < len; i++) {
      var d = (v1[i] || 0) - (v2[i] || 0);
      sum += d * d;
    } // Square root not really needed


    return sum;
  },
  mandist: function mandist(v1, v2) {
    var len = v1.length;
    var sum = 0,
        d = 0;

    for (var i = 0; i < len; i++) {
      d = (v1[i] || 0) - (v2[i] || 0);
      sum += d >= 0 ? d : -d;
    }

    return sum;
  },

  /**
   * Unidimensional distance
   */
  dist: function dist(v1, v2, sqrt) {
    var d = Math.abs(v1 - v2);
    return sqrt ? d : d * d;
  }
};
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