adding a note about scaling

5-Clustering/2-K-Means/solution/notebook.ipynb

@@ -303,16 +303,21 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from sklearn.preprocessing import LabelEncoder\n",
+    "from sklearn.preprocessing import LabelEncoder, StandardScaler\n",
     "le = LabelEncoder()\n",
     "\n",
+    "# scaler = StandardScaler()\n",
+    "\n",
     "X = df.loc[:, ('artist_top_genre','popularity','danceability','acousticness','loudness','energy')]\n",
     "\n",
     "y = df['artist_top_genre']\n",
     "\n",
     "X['artist_top_genre'] = le.fit_transform(X['artist_top_genre'])\n",
     "\n",
-    "y = le.transform(y)\n"
+    "# X = scaler.fit_transform(X)\n",
+    "\n",
+    "y = le.transform(y)\n",
+    "\n"
    ]
   },
   {