diff --git a/Andrew Ng Stanford Coursera/Week 08/ex7/computeCentroids.m b/Andrew Ng Stanford Coursera/Week 08/ex7/computeCentroids.m
index e330da1..e347ff7 100644
--- a/Andrew Ng Stanford Coursera/Week 08/ex7/computeCentroids.m	
+++ b/Andrew Ng Stanford Coursera/Week 08/ex7/computeCentroids.m	
@@ -1,5 +1,5 @@
 function centroids = computeCentroids(X, idx, K)
-%COMPUTECENTROIDS returs the new centroids by computing the means of the 
+%COMPUTECENTROIDS returns the new centroids by computing the means of the 
 %data points assigned to each centroid.
 %   centroids = COMPUTECENTROIDS(X, idx, K) returns the new centroids by 
 %   computing the means of the data points assigned to each centroid. It is
@@ -26,16 +26,20 @@
 % Note: You can use a for-loop over the centroids to compute this.
 %
 
-counts = zeros(K,1);
-for i = 1:m,
-  for j = 1:K, 
-    if idx(i) == j,
-      centroids(j,:) = (centroids(j,:) + X(i,:));
-      counts(j) = counts(j) + 1;
+counts=zeros(K,1)
+for i = 1:m
+    for j =1:K
+        if idx(i)==j
+            centroids(j,:)=centroids(j,:)+X(i,:)
+            counts(j)=counts(j)+1
+        end
     end
-  end
-end  
-centroids = centroids./counts;
+end
+for k=1:n
+    centroids(:,k)=centroids(:,k)./counts 
+end
+
+
 % =============================================================