rdorado / site-analyzer

src/ML.php

Spacing +8 added lines, -8 removed lines

@@ -34,7 +34,7 @@ 
         if ($npoints <= 0) throw new \Exception("Not enough data. ");    
         $ndimensions = count($data[0]);
         $centroids = [];
-        for ($i=0;$i<$nclusters;$i++){
+        for ($i = 0; $i < $nclusters; $i++) {
             $centroids[] = $data[$i];
         }
         //$centroids = self::initCentroids($nclusters, $ndimensions, function(){return rand(0,100)/100;});   
@@ -47,7 +47,7 @@ 
                 $bdist = INF;
                 for ($i = 0; $i < $nclusters; $i++) {
                     $ndist = self::eclideanDistance($data[$j], $centroids[$i]);
-                    if($bdist > $ndist) {
+                    if ($bdist > $ndist) {
                         $bdist = $ndist;
                         $best = $i;
                     }            
@@ -59,7 +59,7 @@ 
             // Check change 
             $finished = true;
             if (count($resp) > 0) {
-                for ($j=0; $j < $npoints; $j++) {        
+                for ($j = 0; $j < $npoints; $j++) {        
                     if ($resp[$j]!==$nresp[$j]) {
                         $finished = false;
                         break;
@@ -71,7 +71,7 @@ 
             $resp = $nresp;
             
             // Recalculate the centroids
-            $centroids = self::initCentroids($nclusters, $ndimensions, function(){return 0;});
+            $centroids = self::initCentroids($nclusters, $ndimensions, function() {return 0; });
             $counts = array_fill(0, $nclusters, 0);
             for ($j = 0; $j < $npoints; $j++) {    
                 $centroids[$resp[$j]] = Matrix::sumArray($centroids[$resp[$j]], $data[$j]);
@@ -91,10 +91,10 @@ 
         $resp = [];
         $n = count($centroids);
         $d = count($centroids[0]);
-        for ($i=0;$i<$n;$i++) {
+        for ($i = 0; $i < $n; $i++) {
             $tmp = [];
-            for ($j=0;$j<$d;$j++){
-                $tmp[] = $centroids[$i][$j]/$counts[$i];
+            for ($j = 0; $j < $d; $j++) {
+                $tmp[] = $centroids[$i][$j] / $counts[$i];
             }
             $resp[] = $tmp;
         }
@@ -123,7 +123,7 @@ 
     public static function eclideanDistance($p1, $p2) {
        $len = count($p1);
        $acum = 0;
-       for($i=0; $i<$len; $i++) {
+       for ($i = 0; $i < $len; $i++) {
            $acum += ($p1[$i] - $p2[$i])**2;
        }
        return sqrt($acum);