richwandell

function kMeans(c){
    var center, i, j, new_clusters = [], new_error = centroids.map(function(){return 0;}),
        x, y, clu, dp, closest, closest_distance, distance, same;
    centroids = [];
    //Determine the center point of each cluster
    for(i = 0; i < c.length; i++){
        clu = c[i];
        x = 0;
        y = 0;
        for(j = 0; j < clu.length; j++){

richwandell

function knn(s){
    //Normalize sample
    var s0 = (s[0] - min_X) / (max_X - min_X);
    var s1 = (s[1] - min_X) / (max_X - min_X);

    //Find nearest neighbors
    var c1 = false;
    var c2 = false;

    var distance;

richwandell

var linreg = (function(numbers){
    var xsum = 0, ysum = 0, xysum = 0, x2sum = 0, m, b;
    for(var i = 0; i < numbers.length; i++){
        xsum += i;
        ysum += numbers[i];
        xysum += i * numbers[i];
        x2sum += Math.pow(i, 2);
    }
    m = (numbers.length * xysum - xsum * ysum) / (numbers.length * x2sum - Math.pow(xsum, 2));
    b = (ysum - m * xsum) / numbers.length;

richwandell

var cest, pest = 0, mea, kg, eest = 1, emea = 1;
function kalman(m){
    mea = m;
    kg = eest / (eest + emea);
    cest = pest + kg * (mea - pest);
    pest = cest;
    eest = (emea * eest) / (emea + eest);
    return cest;
}