diff --git a/lectures/lec21/cluster.ipynb b/lectures/lec21/cluster.ipynb
index e273619..af326bd 100644
--- a/lectures/lec21/cluster.ipynb
+++ b/lectures/lec21/cluster.ipynb
@@ -39,7 +39,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 2,
    "metadata": {
     "collapsed": false
    },
@@ -131,7 +131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 3,
    "metadata": {
     "collapsed": false
    },
@@ -140,7 +140,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "5002\n"
+      "5003\n"
      ]
     }
    ],
@@ -150,7 +150,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 4,
    "metadata": {
     "collapsed": false
    },
@@ -159,10 +159,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "text I just love white women\n",
-      "description: fightin games ||\n",
-      "Master Tier Support LFT\n",
-      "name: Aaron Chestnut\n",
+      "text @Maddy_Valone thanks madelynn, I love you💖\n",
+      "description: actions speak louder than words// 10.23.15❤️ 03.07.16 AB❤️❤️\n",
+      "name: Tay\n",
       "location: None\n"
      ]
     }
@@ -177,18 +176,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 5,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
-    "tweets2 = [t for t in tweets if 'text' in t]"
+    "tweets = [t for t in tweets if 'text' in t]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 6,
    "metadata": {
     "collapsed": false
    },
@@ -196,32 +195,21 @@
     {
      "data": {
       "text/plain": [
-       "4620"
+       "4623"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "len(tweets2)"
+    "len(tweets)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "tweets = tweets2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 7,
    "metadata": {
     "collapsed": false
    },
@@ -229,10 +217,10 @@
     {
      "data": {
       "text/plain": [
-       "['i', 'just', 'love', 'white', 'women']"
+       "['thanks', 'madelynn', 'i', 'love', 'you']"
       ]
      },
-     "execution_count": 78,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -251,7 +239,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 8,
    "metadata": {
     "collapsed": false
    },
@@ -267,7 +255,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 9,
    "metadata": {
     "collapsed": false
    },
@@ -276,25 +264,25 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "7328 unique terms\n"
+      "7502 unique terms\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "[('i', 5693),\n",
-       " ('rt', 1949),\n",
-       " ('to', 1389),\n",
-       " ('the', 1288),\n",
-       " ('a', 1267),\n",
-       " ('you', 1263),\n",
-       " ('my', 914),\n",
-       " ('m', 866),\n",
-       " ('and', 847),\n",
-       " ('it', 729)]"
+       "[('i', 5702),\n",
+       " ('rt', 1845),\n",
+       " ('to', 1465),\n",
+       " ('the', 1384),\n",
+       " ('a', 1220),\n",
+       " ('you', 1085),\n",
+       " ('m', 964),\n",
+       " ('and', 941),\n",
+       " ('my', 884),\n",
+       " ('t', 780)]"
       ]
      },
-     "execution_count": 80,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -309,7 +297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 10,
    "metadata": {
     "collapsed": false
    },
@@ -318,7 +306,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "3036 words occur at least two times.\n"
+      "3145 words occur at least two times.\n"
      ]
     }
    ],
@@ -330,7 +318,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 11,
    "metadata": {
     "collapsed": false
    },
@@ -347,7 +335,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 14,
    "metadata": {
     "collapsed": false
    },
@@ -355,40 +343,22 @@
     {
      "data": {
       "text/plain": [
-       "['rt',\n",
-       " 'i',\n",
-       " 'didn',\n",
-       " 't',\n",
-       " 'like',\n",
-       " 'this',\n",
-       " 'song',\n",
-       " 'but',\n",
-       " 'then',\n",
-       " 'i',\n",
-       " 'heard',\n",
-       " 'the',\n",
-       " 'acoustic',\n",
-       " 'one',\n",
-       " 'enjoy',\n",
-       " 'ht',\n",
-       " 'secondcover',\n",
-       " 'is',\n",
-       " 'back']"
+       "['thanks', 'i', 'love', 'you']"
       ]
      },
-     "execution_count": 85,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# A sample pruned tweet.\n",
-    "tokens[2]"
+    "tokens[0]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 15,
    "metadata": {
     "collapsed": false
    },
@@ -416,7 +386,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 16,
    "metadata": {
     "collapsed": false
    },
@@ -424,29 +394,29 @@
     {
      "data": {
       "text/plain": [
-       "[('m@1', 856),\n",
-       " ('rt@-1', 812),\n",
-       " ('love@1', 308),\n",
-       " ('and@-1', 213),\n",
-       " ('don@1', 211),\n",
-       " ('rt@-2', 190),\n",
-       " ('have@1', 175),\n",
-       " ('ve@1', 173),\n",
-       " ('just@1', 172),\n",
-       " ('ll@1', 168),\n",
-       " ('can@1', 162),\n",
-       " ('i@-2', 154),\n",
-       " ('but@-1', 141),\n",
-       " ('am@1', 133),\n",
-       " ('was@1', 133),\n",
-       " ('want@1', 129),\n",
-       " ('need@1', 119),\n",
-       " ('when@-1', 105),\n",
-       " ('the@-2', 104),\n",
-       " ('me@-2', 102)]"
+       "[('m@1', 949),\n",
+       " ('rt@-1', 791),\n",
+       " ('and@-1', 233),\n",
+       " ('love@1', 219),\n",
+       " ('ve@1', 209),\n",
+       " ('can@1', 208),\n",
+       " ('rt@-2', 201),\n",
+       " ('don@1', 172),\n",
+       " ('have@1', 169),\n",
+       " ('just@1', 166),\n",
+       " ('but@-1', 164),\n",
+       " ('ll@1', 162),\n",
+       " ('when@-1', 139),\n",
+       " ('the@-2', 136),\n",
+       " ('am@1', 134),\n",
+       " ('was@1', 125),\n",
+       " ('me@-2', 118),\n",
+       " ('want@1', 110),\n",
+       " ('i@-2', 109),\n",
+       " ('hate@1', 106)]"
       ]
      },
-     "execution_count": 87,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -457,7 +427,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
@@ -465,14 +435,14 @@
     {
      "data": {
       "text/plain": [
-       "[('i@-1', 5660),\n",
-       " ('i@-2', 5465),\n",
-       " ('i@1', 4417),\n",
-       " ('rt@-1', 1946),\n",
-       " ('rt@-2', 1936)]"
+       "[('i@-1', 5675),\n",
+       " ('i@-2', 5464),\n",
+       " ('i@1', 4350),\n",
+       " ('rt@-1', 1844),\n",
+       " ('rt@-2', 1838)]"
       ]
      },
-     "execution_count": 88,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -487,7 +457,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 18,
    "metadata": {
     "collapsed": false
    },
@@ -495,14 +465,14 @@
     {
      "data": {
       "text/plain": [
-       "[('m@1', 0.5656589180724478),\n",
-       " ('rt@-1', 0.4859104689814621),\n",
-       " ('love@1', 0.2202735016170549),\n",
-       " ('don@1', 0.16001560906605292),\n",
-       " ('ve@1', 0.14220010056448193)]"
+       "[('m@1', 0.6074600339659124),\n",
+       " ('rt@-1', 0.46777716298830435),\n",
+       " ('love@1', 0.16287334308387164),\n",
+       " ('ve@1', 0.16207223522779549),\n",
+       " ('and@-1', 0.14995192581405317)]"
       ]
      },
-     "execution_count": 89,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -522,7 +492,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 19,
    "metadata": {
     "collapsed": false
    },
@@ -530,19 +500,19 @@
     {
      "data": {
       "text/plain": [
-       "[('high@-1', 0.5400194871529245),\n",
-       " ('route@-2', 0.30582161043598705),\n",
-       " ('cares@-2', 0.23439654109318486),\n",
-       " ('to@-1', 0.22331684789196019),\n",
-       " ('smiles@-2', 0.18062316964958),\n",
-       " ('middle@-1', 0.18062316964958),\n",
-       " ('and@1', 0.15842753516603655),\n",
-       " ('children@-2', 0.14572563597732363),\n",
-       " ('lessons@1', 0.14572563597732363),\n",
-       " ('doesn@1', 0.14005078764583445)]"
+       "[('fake@-2', 0.5975239422063642),\n",
+       " ('friends@-1', 0.5372074585396509),\n",
+       " ('being@1', 0.4509488564161085),\n",
+       " ('is@1', 0.15957649683887706),\n",
+       " ('go@-2', 0.11810454155883642),\n",
+       " ('rt@-1', 0.10816530593283122),\n",
+       " ('to@-1', 0.09752316082466882),\n",
+       " ('middle@-1', 0.08828866275699869),\n",
+       " ('project@1', 0.0720574292682831),\n",
+       " ('incident@-2', 0.06803418701026041)]"
       ]
      },
-     "execution_count": 90,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -562,7 +532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 20,
    "metadata": {
     "collapsed": false
    },
@@ -593,7 +563,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 21,
    "metadata": {
     "collapsed": false
    },
@@ -601,12 +571,12 @@
     {
      "data": {
       "text/plain": [
-       "array(['love', 'phottto', 'm', 'wuv', 'hope', 'miss', 'hate', 'am', 've',\n",
-       "       'need'], \n",
-       "      dtype='<U31')"
+       "array(['love', 'hope', 'miss', 'm', 'swear', 'am', 'll', 'bet', 've',\n",
+       "       'hate'], \n",
+       "      dtype='<U22')"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -625,7 +595,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 22,
    "metadata": {
     "collapsed": false
    },
@@ -634,7 +604,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "6498 nonzero contexts\n"
+      "3143 nonzero contexts\n"
      ]
     }
    ],
@@ -647,7 +617,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 23,
    "metadata": {
     "collapsed": false
    },
@@ -656,11 +626,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "['a@-1' 'a@-2' 'a@1' 'aa@1' 'aaaaa@-1' 'aaaaa@-2' 'aaaaaaa@1' 'aap@-1'\n",
-      " 'aap@-2' 'aap@1']\n",
-      "  (0, 2274)\t0.6176837477\n",
-      "  (0, 7638)\t0.179774039551\n",
-      "  (0, 13465)\t0.765603084196\n"
+      "['a@-1' 'a@-2' 'a@1' 'abgehakt@-1' 'abgehakt@-2' 'abgehakt@1' 'abi@1'\n",
+      " 'ability@-1' 'ability@-2' 'ability@1']\n",
+      "  (0, 2730)\t0.356687862264\n",
+      "  (0, 5155)\t0.660034013128\n",
+      "  (0, 6855)\t0.238859146112\n",
+      "  (0, 7255)\t0.425839590179\n",
+      "  (0, 8208)\t0.207871150335\n",
+      "  (0, 8237)\t0.394367096803\n"
      ]
     }
    ],
@@ -678,29 +651,84 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 36,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "'san@-1'"
-      ]
-     },
-     "execution_count": 49,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "828\n",
+      "  (0, 1)\t0.00477244645424\n",
+      "  (0, 2)\t0.00940532605072\n",
+      "  (0, 15)\t0.00614343176802\n",
+      "  (0, 74)\t0.00835941470593\n",
+      "  (0, 79)\t0.0181453447983\n",
+      "  (0, 138)\t0.00729571555916\n",
+      "  (0, 177)\t0.00841294973494\n",
+      "  (0, 201)\t0.0422557059747\n",
+      "  (0, 230)\t0.00886440634587\n",
+      "  (0, 244)\t0.00679373548211\n",
+      "  (0, 246)\t0.00681831071018\n",
+      "  (0, 251)\t0.0201877524318\n",
+      "  (0, 268)\t0.00629437188756\n",
+      "  (0, 269)\t0.0190704309034\n",
+      "  (0, 274)\t0.00972830351336\n",
+      "  (0, 275)\t0.029380834053\n",
+      "  (0, 276)\t0.00974457462836\n",
+      "  (0, 400)\t0.0104642604187\n",
+      "  (0, 465)\t0.00650715082774\n",
+      "  (0, 548)\t0.0181453447983\n",
+      "  (0, 590)\t0.0180522229886\n",
+      "  (0, 591)\t0.00920809982738\n",
+      "  (0, 631)\t0.022490687173\n",
+      "  (0, 731)\t0.00704309616134\n",
+      "  (0, 762)\t0.0129629837028\n",
+      "  :\t:\n",
+      "  (0, 8846)\t0.022490687173\n",
+      "  (0, 8853)\t0.0292866721661\n",
+      "  (0, 8864)\t0.00993423536806\n",
+      "  (0, 8876)\t0.006409009642\n",
+      "  (0, 8897)\t0.00679373548211\n",
+      "  (0, 8911)\t0.0186546052707\n",
+      "  (0, 8912)\t0.012498065172\n",
+      "  (0, 8913)\t0.00620620836335\n",
+      "  (0, 8963)\t0.00566090463241\n",
+      "  (0, 8964)\t0.0387255296187\n",
+      "  (0, 8970)\t0.00941521382615\n",
+      "  (0, 9057)\t0.0471457683681\n",
+      "  (0, 9067)\t0.00965410893082\n",
+      "  (0, 9098)\t0.0859912121048\n",
+      "  (0, 9107)\t0.0247317853321\n",
+      "  (0, 9113)\t0.00886440634587\n",
+      "  (0, 9131)\t0.00846880452335\n",
+      "  (0, 9137)\t0.00894297328297\n",
+      "  (0, 9161)\t0.0102695598793\n",
+      "  (0, 9169)\t0.0193139622343\n",
+      "  (0, 9170)\t0.0195729138021\n",
+      "  (0, 9171)\t0.316065755412\n",
+      "  (0, 9181)\t0.00610605274655\n",
+      "  (0, 9182)\t0.00625534964522\n",
+      "  (0, 9183)\t0.0366051781502\n",
+      "you@1\n"
+     ]
     }
    ],
    "source": [
-    "names[13465]"
+    "# Which row of X is the word \"love\"?\n",
+    "love_idx = list(contexts.keys()).index('love')\n",
+    "print(love_idx)\n",
+    "# What are the context feature values for love?\n",
+    "print(X[love_idx])\n",
+    "# Print a highly ranking feature.\n",
+    "print(names[9171])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 37,
    "metadata": {
     "collapsed": false
    },
@@ -713,13 +741,14 @@
        "    verbose=0)"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# Let's cluster!\n",
+    "# http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html\n",
     "from sklearn.cluster import KMeans\n",
     "num_clusters = 20\n",
     "kmeans = KMeans(num_clusters)\n",
@@ -728,7 +757,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 38,
    "metadata": {
     "collapsed": false
    },
@@ -737,26 +766,26 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0 to@-2 be@-1 get@-1 on@1 i@1\n",
-      "1 to@1 i@-2 i@-1 m@-1 m@-2\n",
-      "2 my@-1 in@-2 on@-2 i@1 and@1\n",
-      "3 so@-2 many@-1 i@-1 much@-1 and@1\n",
-      "4 me@1 you@-1 i@-2 to@-1 just@-1\n",
-      "5 on@-1 t@-1 in@-2 can@-2 don@-2\n",
-      "6 the@-1 in@-2 i@1 of@1 to@-2\n",
-      "7 in@-1 i@1 north@1 m@-2 people@-2\n",
-      "8 to@-1 want@-2 i@-1 i@-2 the@1\n",
-      "9 a@-2 the@-2 of@1 i@1 same@-1\n",
-      "10 i@1 rt@-1 rt@-2 so@-1 i@-2\n",
-      "11 i@-1 rt@-2 t@1 i@-2 you@1\n",
-      "12 and@1 you@-2 with@-1 i@-2 be@-1\n",
-      "13 that@-1 thought@-2 let@-2 in@1 a@-1\n",
-      "14 i@-2 m@-1 just@-1 love@-1 a@1\n",
-      "15 a@-1 of@1 have@-2 i@1 in@-2\n",
-      "16 in@1 the@-1 i@-2 have@-2 and@-2\n",
-      "17 was@-1 i@-2 for@1 it@-2 in@1\n",
-      "18 rt@-1 i@-2 i@1 m@-2 i@-1\n",
-      "19 that@-2 s@-1 was@-1 on@1 are@-1\n"
+      "0 to@-1 t@-1 i@-1 i@-2 me@1\n",
+      "1 and@1 rt@-1 i@1 of@-1 to@-2\n",
+      "2 the@-1 i@1 and@1 a@-1 in@-2\n",
+      "3 and@-1 i@1 to@-1 in@1 the@1\n",
+      "4 m@-2 so@-1 i@-2 not@-1 m@-1\n",
+      "5 the@-2 i@1 and@1 a@-1 most@-1\n",
+      "6 it@-1 like@1 that@-1 to@1 the@1\n",
+      "7 the@-1 in@-2 i@1 of@1 for@-2\n",
+      "8 i@-1 rt@-2 i@-2 t@1 a@1\n",
+      "9 my@-1 and@1 to@-2 your@-1 i@1\n",
+      "10 it@-2 do@-2 s@-1 but@-1 art@1\n",
+      "11 an@-1 for@1 in@-2 i@1 of@-2\n",
+      "12 a@-2 i@1 i@-2 in@-1 the@-1\n",
+      "13 of@1 a@-1 the@-1 i@-2 the@-2\n",
+      "14 to@1 i@-2 i@-1 to@-1 m@-1\n",
+      "15 and@-2 i@-1 the@1 it@1 for@-1\n",
+      "16 i@-2 i@-1 ve@-1 just@-1 in@1\n",
+      "17 i@1 rt@-1 i@-2 to@-2 me@-1\n",
+      "18 i@-2 m@-1 i@1 be@-1 the@1\n",
+      "19 a@-1 i@1 and@1 have@-2 in@-2\n"
      ]
     }
    ],
@@ -769,7 +798,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 40,
    "metadata": {
     "collapsed": false
    },
@@ -777,13 +806,13 @@
     {
      "data": {
       "text/plain": [
-       "array([ 1.06722165,  1.10782027,  1.0674842 ,  1.18638417,  1.08373736,\n",
-       "        0.99943939,  1.09045508,  1.0457564 ,  1.06041701,  1.01911992,\n",
-       "        1.05633428,  1.10211629,  1.05770685,  1.07120721,  1.07142553,\n",
-       "        1.06685455,  1.06787381,  1.19213258,  1.00018739,  1.1250639 ])"
+       "array([ 1.07242557,  0.99899023,  1.02986095,  1.02875689,  1.06510437,\n",
+       "        1.02811637,  1.0538714 ,  1.14194475,  1.12543407,  1.06321653,\n",
+       "        1.02268792,  1.07671936,  1.01856784,  1.08200541,  1.01522164,\n",
+       "        1.04871631,  1.04493059,  1.04957583,  1.10209854,  1.05484867])"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -796,7 +825,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 41,
    "metadata": {
     "collapsed": false
    },
@@ -805,45 +834,45 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0 shorter mall cait separated bands mosque bough concerned downnnn \n",
+      "0 see do make say sleep hear be tell know \n",
       "\n",
-      "1 beed refuse loyal yg needless movin aspire sea want \n",
+      "1 me like and you that work this a on \n",
       "\n",
-      "2 life losses favs grandma bestfriend defense undies ringtone lurking \n",
+      "2 same sky fact finale world freezer bathroom ground couch \n",
       "\n",
-      "3 pus deleated bbloggers dogs options muchh chains spared pushed \n",
+      "3 families bea sliding hug dang yup taylor cristal protein \n",
       "\n",
-      "4 annoy tickle bugs push replace interrupt texted trills told \n",
+      "4 thankful excited grateful glad bummed pissed bored tired much \n",
       "\n",
-      "5 apocalyptic deal snapchat deny kik stress wait replace netflix \n",
+      "5 person thing ensure bell vlogs time record cl of \n",
       "\n",
-      "6 jansport mall truth same sea gutter summertime mosque bands \n",
+      "6 tooo feels seems bby takes looks bringing doc upstairs \n",
       "\n",
-      "7 uk tht constantly peterhof causing lmm looovee rehearsals russia \n",
+      "7 best sky finale world fact freezer bathroom ground res \n",
       "\n",
-      "8 retur be carpool recap create throw netball surprise get \n",
+      "8 love swear am miss ll ve have just was \n",
       "\n",
-      "9 thing victory mores playroom supporter of autchat from thicker \n",
+      "9 life ability boyfriend countrymen son ear sister parents fault \n",
       "\n",
-      "10 when ahhhhh confidently meanwhile hola kubsnjidirect produce justtwitterthings hahah \n",
+      "10 whatever wrong bigger cold bea within prolly magic fails \n",
       "\n",
-      "11 am hope love ve swear ll need hate think \n",
+      "11 argument hour interpreter attitude athlete audition era article outspoken \n",
       "\n",
-      "12 siyeon lonely lurking kalie groomers panics gray mommy deleated \n",
+      "12 from photo cs of sending mother bowl town boy \n",
       "\n",
-      "13 hole negativity matters input promotion sink slide nigga reminds \n",
+      "13 type bunch ton member perk part plenty bottle piece \n",
       "\n",
-      "14 gatvol starving sighs yelling weak torn imagining babysitting embarrassing \n",
+      "14 trying listening supposed able listen tend want embarrassed tryin \n",
       "\n",
-      "15 lot virgin headache pop row hooligan thot blast mess \n",
+      "15 freaked petty votes keeping arguing cant making among loads \n",
       "\n",
-      "16 dangerously alice holes peterhof today seeds tagi raised window \n",
+      "16 a never crossing you finished curious received witnessed still \n",
       "\n",
-      "17 exaggerating vegetarian searching waitin pretending groggy raised lit created \n",
+      "17 but sometimes when ooh and things yeah if goodbye \n",
       "\n",
-      "18 like that do this all it to me so \n",
+      "18 hungry buying tryin loyal leaving uploading sorry crossing shocked \n",
       "\n",
-      "19 virtually wan addressed fatty adds goin southwestern whack farts \n",
+      "19 headache few little hustle burrito blessing sweetheart dickhead blogger \n",
       "\n"
      ]
     }
@@ -880,26 +909,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 121,
+   "execution_count": 43,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-7445.99342108\n"
-     ]
+     "data": {
+      "text/plain": [
+       "-2857.5917288226187"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "print kmeans.score(X)"
+    "kmeans.score(X)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 45,
    "metadata": {
     "collapsed": false
    },
@@ -908,18 +940,18 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "k=5 score=-7797.96\n",
-      "k=10 score=-7713.23\n",
-      "k=20 score=-7583.07\n",
-      "k=50 score=-7472.8\n",
-      "k=100 score=-7311.88\n"
+      "k=5 score=2970.76\n",
+      "k=10 score=2907.65\n",
+      "k=20 score=2859.23\n",
+      "k=50 score=2774.11\n",
+      "k=100 score=2686.25\n"
      ]
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZAAAAEPCAYAAABsj5JaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n2DmYAAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZMAAAEPCAYAAACHuClZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nljOHiZmZ5cxhYmZmOfv/XhQPqbb1GVsAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x114432c50>"
+       "<matplotlib.figure.Figure at 0x10aa831d0>"
       ]
      },
      "metadata": {},
@@ -938,7 +970,7 @@
     "    kmeans.fit(X)\n",
     "    score = -1 * kmeans.score(X)\n",
     "    scores.append(score)\n",
-    "    print 'k=%d score=%g' % (num_clusters, score)\n",
+    "    print('k=%d score=%g' % (num_clusters, score))\n",
     "    \n",
     "plt.figure()\n",
     "plt.plot(num_cluster_options, scores, 'bo-')\n",
@@ -956,7 +988,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 46,
    "metadata": {
     "collapsed": false
    },
@@ -965,23 +997,23 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "score=7500.51\n",
-      "score=7487.98\n",
-      "score=7492.89\n",
-      "score=7476.02\n",
-      "score=7468.77\n",
-      "score=7493.28\n",
-      "score=7486.01\n",
-      "score=7519.28\n",
-      "score=7488.46\n",
-      "score=7525.88\n"
+      "score=2866.97\n",
+      "score=2860.65\n",
+      "score=2868.09\n",
+      "score=2866.2\n",
+      "score=2882.51\n",
+      "score=2863.72\n",
+      "score=2859.34\n",
+      "score=2867.88\n",
+      "score=2883.09\n",
+      "score=2869.8\n"
      ]
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEPCAYAAABcA4N7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYwAAAEPCAYAAABRHfM8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n8v8BpFruLvNlxhgAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x113b41810>"
+       "<matplotlib.figure.Figure at 0x10a9def28>"
       ]
      },
      "metadata": {},
@@ -995,7 +1027,7 @@
     "    kmeans.fit(X)\n",
     "    score = -1 * kmeans.score(X)\n",
     "    scores.append(score)\n",
-    "    print 'score=%g' % (score)\n",
+    "    print('score=%g' % (score))\n",
     "     \n",
     "    \n",
     "plt.figure()\n",