diff --git a/kMedoids.py b/kMedoids.py
index a6a422a..38227b3 100644
--- a/kMedoids.py
+++ b/kMedoids.py
@@ -5,7 +5,7 @@ import seaborn as sns
 
 from numpy.random import choice, seed
 from sklearn.decomposition import PCA
-from sklearn.preprocessing import Normalizer
+from sklearn.preprocessing import StandardScaler
 
 seed(42)
 
@@ -44,7 +44,7 @@ def is_finished(old_medoids, new_medoids):
 def kmedoids(num_samples, num_clusters):
     df = pd.read_csv('CC GENERAL.csv', index_col='CUST_ID')
     df = df[:num_samples].fillna(0)
-    df_scaled = pd.DataFrame(Normalizer().fit_transform(df))
+    df_scaled = pd.DataFrame(StandardScaler().fit_transform(df))
 
     # initialize medoids (at random)
     medoids = initialize_medoids(num_medoids=num_clusters, data=df_scaled)