diff --git a/Phase 2/task_4.ipynb b/Phase 2/task_4.ipynb
index 9d8d25c..25d660c 100644
--- a/Phase 2/task_4.ipynb	
+++ b/Phase 2/task_4.ipynb	
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -22,9 +22,351 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Applying CP decomposition on the cm_fd space to get 10 latent semantics (showing only top 10 image-weight pairs for each latent semantic)...\n",
+      "(4339, 900, 101)\n",
+      "Showing image-weight latent semantic\n",
+      "Latent semantic no. 0\n",
+      "image\t823\t-\tweight\t0.06101574157129977\n",
+      "image\t809\t-\tweight\t0.06062830674568429\n",
+      "image\t806\t-\tweight\t0.060448512391290884\n",
+      "image\t832\t-\tweight\t0.06044200170224582\n",
+      "image\t830\t-\tweight\t0.06028043498591822\n",
+      "image\t808\t-\tweight\t0.06026752408221666\n",
+      "image\t772\t-\tweight\t0.06021140705672949\n",
+      "image\t750\t-\tweight\t0.060162025437143496\n",
+      "image\t844\t-\tweight\t0.060101929899988096\n",
+      "image\t784\t-\tweight\t0.06003388853666149\n",
+      "Latent semantic no. 1\n",
+      "image\t980\t-\tweight\t0.0754118902341204\n",
+      "image\t1084\t-\tweight\t0.07362125136812943\n",
+      "image\t1011\t-\tweight\t0.06967853969554338\n",
+      "image\t997\t-\tweight\t0.06873541509302017\n",
+      "image\t1065\t-\tweight\t0.06811244748351335\n",
+      "image\t1184\t-\tweight\t0.06715708987702379\n",
+      "image\t1053\t-\tweight\t0.06697645698011236\n",
+      "image\t962\t-\tweight\t0.06677715910430597\n",
+      "image\t1287\t-\tweight\t0.06650715541378867\n",
+      "image\t968\t-\tweight\t0.065552599099574\n",
+      "Latent semantic no. 2\n",
+      "image\t0\t-\tweight\t0.0\n",
+      "image\t1\t-\tweight\t0.0\n",
+      "image\t2\t-\tweight\t0.0\n",
+      "image\t3\t-\tweight\t0.0\n",
+      "image\t4\t-\tweight\t0.0\n",
+      "image\t5\t-\tweight\t0.0\n",
+      "image\t6\t-\tweight\t0.0\n",
+      "image\t7\t-\tweight\t0.0\n",
+      "image\t8\t-\tweight\t0.0\n",
+      "image\t9\t-\tweight\t0.0\n",
+      "Latent semantic no. 3\n",
+      "image\t218\t-\tweight\t0.0\n",
+      "image\t219\t-\tweight\t0.0\n",
+      "image\t220\t-\tweight\t0.0\n",
+      "image\t221\t-\tweight\t0.0\n",
+      "image\t222\t-\tweight\t0.0\n",
+      "image\t223\t-\tweight\t0.0\n",
+      "image\t224\t-\tweight\t0.0\n",
+      "image\t225\t-\tweight\t0.0\n",
+      "image\t226\t-\tweight\t0.0\n",
+      "image\t227\t-\tweight\t0.0\n",
+      "Latent semantic no. 4\n",
+      "image\t4178\t-\tweight\t0.13411466061203375\n",
+      "image\t4133\t-\tweight\t0.13381869962849108\n",
+      "image\t4186\t-\tweight\t0.1328204635772519\n",
+      "image\t4112\t-\tweight\t0.13246858130287337\n",
+      "image\t4165\t-\tweight\t0.13047834274654035\n",
+      "image\t4096\t-\tweight\t0.12970904464417174\n",
+      "image\t4130\t-\tweight\t0.1276357487547854\n",
+      "image\t4163\t-\tweight\t0.12611220410021198\n",
+      "image\t4175\t-\tweight\t0.12609814994237703\n",
+      "image\t4125\t-\tweight\t0.12492475451893506\n",
+      "Latent semantic no. 5\n",
+      "image\t0\t-\tweight\t0.0\n",
+      "image\t1\t-\tweight\t0.0\n",
+      "image\t2\t-\tweight\t0.0\n",
+      "image\t3\t-\tweight\t0.0\n",
+      "image\t4\t-\tweight\t0.0\n",
+      "image\t5\t-\tweight\t0.0\n",
+      "image\t6\t-\tweight\t0.0\n",
+      "image\t7\t-\tweight\t0.0\n",
+      "image\t8\t-\tweight\t0.0\n",
+      "image\t9\t-\tweight\t0.0\n",
+      "Latent semantic no. 6\n",
+      "image\t0\t-\tweight\t0.0\n",
+      "image\t1\t-\tweight\t0.0\n",
+      "image\t2\t-\tweight\t0.0\n",
+      "image\t3\t-\tweight\t0.0\n",
+      "image\t4\t-\tweight\t0.0\n",
+      "image\t5\t-\tweight\t0.0\n",
+      "image\t6\t-\tweight\t0.0\n",
+      "image\t7\t-\tweight\t0.0\n",
+      "image\t8\t-\tweight\t0.0\n",
+      "image\t9\t-\tweight\t0.0\n",
+      "Latent semantic no. 7\n",
+      "image\t0\t-\tweight\t0.0\n",
+      "image\t1\t-\tweight\t0.0\n",
+      "image\t2\t-\tweight\t0.0\n",
+      "image\t3\t-\tweight\t0.0\n",
+      "image\t4\t-\tweight\t0.0\n",
+      "image\t5\t-\tweight\t0.0\n",
+      "image\t6\t-\tweight\t0.0\n",
+      "image\t7\t-\tweight\t0.0\n",
+      "image\t8\t-\tweight\t0.0\n",
+      "image\t9\t-\tweight\t0.0\n",
+      "Latent semantic no. 8\n",
+      "image\t0\t-\tweight\t0.0\n",
+      "image\t1\t-\tweight\t0.0\n",
+      "image\t2\t-\tweight\t0.0\n",
+      "image\t3\t-\tweight\t0.0\n",
+      "image\t4\t-\tweight\t0.0\n",
+      "image\t5\t-\tweight\t0.0\n",
+      "image\t6\t-\tweight\t0.0\n",
+      "image\t7\t-\tweight\t0.0\n",
+      "image\t8\t-\tweight\t0.0\n",
+      "image\t9\t-\tweight\t0.0\n",
+      "Latent semantic no. 9\n",
+      "image\t0\t-\tweight\t0.0\n",
+      "image\t1\t-\tweight\t0.0\n",
+      "image\t2\t-\tweight\t0.0\n",
+      "image\t3\t-\tweight\t0.0\n",
+      "image\t4\t-\tweight\t0.0\n",
+      "image\t5\t-\tweight\t0.0\n",
+      "image\t6\t-\tweight\t0.0\n",
+      "image\t7\t-\tweight\t0.0\n",
+      "image\t8\t-\tweight\t0.0\n",
+      "image\t9\t-\tweight\t0.0\n",
+      "Showing feature-weight latent semantic\n",
+      "Latent semantic no. 0\n",
+      "feature\t0\t-\tweight\t0.07577182824380883\n",
+      "feature\t9\t-\tweight\t0.07573677778472039\n",
+      "feature\t3\t-\tweight\t0.07557126037394385\n",
+      "feature\t6\t-\tweight\t0.0753781982199277\n",
+      "feature\t7\t-\tweight\t0.0001951950616295707\n",
+      "feature\t4\t-\tweight\t0.00017549416192999285\n",
+      "feature\t1\t-\tweight\t0.00012194961415249631\n",
+      "feature\t2\t-\tweight\t4.287652912002155e-06\n",
+      "feature\t8\t-\tweight\t-2.314815116961173e-06\n",
+      "feature\t5\t-\tweight\t-5.197417109414247e-06\n",
+      "Latent semantic no. 1\n",
+      "feature\t9\t-\tweight\t0.09115512060365509\n",
+      "feature\t0\t-\tweight\t0.09113096158559393\n",
+      "feature\t3\t-\tweight\t0.09044159243667037\n",
+      "feature\t6\t-\tweight\t0.09018059343754826\n",
+      "feature\t7\t-\tweight\t0.0021130646053269977\n",
+      "feature\t4\t-\tweight\t0.002030234496532767\n",
+      "feature\t1\t-\tweight\t0.002009281088063933\n",
+      "feature\t5\t-\tweight\t-0.0006594073704548895\n",
+      "feature\t2\t-\tweight\t-0.0006852646011520126\n",
+      "feature\t8\t-\tweight\t-0.0007029010314333884\n",
+      "Latent semantic no. 2\n",
+      "feature\t2\t-\tweight\t0.0017202269882332225\n",
+      "feature\t5\t-\tweight\t0.0012782693995776035\n",
+      "feature\t8\t-\tweight\t0.0011056757480729573\n",
+      "feature\t4\t-\tweight\t-0.008186797881888055\n",
+      "feature\t1\t-\tweight\t-0.008219352401356154\n",
+      "feature\t7\t-\tweight\t-0.0082326697588083\n",
+      "feature\t6\t-\tweight\t-0.052967486759999564\n",
+      "feature\t0\t-\tweight\t-0.053269849112101635\n",
+      "feature\t3\t-\tweight\t-0.053314794168011104\n",
+      "feature\t9\t-\tweight\t-0.054790922702571875\n",
+      "Latent semantic no. 3\n",
+      "feature\t8\t-\tweight\t0.0012457435033955949\n",
+      "feature\t5\t-\tweight\t0.0011302318267326496\n",
+      "feature\t2\t-\tweight\t0.0008915556276299796\n",
+      "feature\t1\t-\tweight\t-0.0067143893348969585\n",
+      "feature\t7\t-\tweight\t-0.006979411165292033\n",
+      "feature\t4\t-\tweight\t-0.007115085250947199\n",
+      "feature\t9\t-\tweight\t-0.04627063193585373\n",
+      "feature\t0\t-\tweight\t-0.04669584380231813\n",
+      "feature\t3\t-\tweight\t-0.05358789010258499\n",
+      "feature\t6\t-\tweight\t-0.05372707309592606\n",
+      "Latent semantic no. 4\n",
+      "feature\t9\t-\tweight\t0.06636728404803105\n",
+      "feature\t0\t-\tweight\t0.06602164959781295\n",
+      "feature\t6\t-\tweight\t0.0658680657426211\n",
+      "feature\t3\t-\tweight\t0.0658246292439607\n",
+      "feature\t7\t-\tweight\t0.0024698135167617423\n",
+      "feature\t1\t-\tweight\t0.0024642047114514965\n",
+      "feature\t4\t-\tweight\t0.002441605516788918\n",
+      "feature\t2\t-\tweight\t3.412235539925601e-05\n",
+      "feature\t8\t-\tweight\t3.0388889414075837e-05\n",
+      "feature\t5\t-\tweight\t-3.5221294849889635e-05\n",
+      "Latent semantic no. 5\n",
+      "feature\t2\t-\tweight\t-0.0004406092931454461\n",
+      "feature\t8\t-\tweight\t-0.0004885796160427777\n",
+      "feature\t5\t-\tweight\t-0.00061257112416781\n",
+      "feature\t1\t-\tweight\t-0.007155350004314086\n",
+      "feature\t4\t-\tweight\t-0.007165462449854097\n",
+      "feature\t7\t-\tweight\t-0.007444856783482605\n",
+      "feature\t6\t-\tweight\t-0.06042702105743578\n",
+      "feature\t3\t-\tweight\t-0.06082664033553194\n",
+      "feature\t0\t-\tweight\t-0.061400505754596324\n",
+      "feature\t9\t-\tweight\t-0.06196505846576572\n",
+      "Latent semantic no. 6\n",
+      "feature\t8\t-\tweight\t0.001098350913411075\n",
+      "feature\t2\t-\tweight\t0.0010016779555276794\n",
+      "feature\t5\t-\tweight\t0.0005821006414327626\n",
+      "feature\t4\t-\tweight\t-0.005900355271379414\n",
+      "feature\t1\t-\tweight\t-0.00598284109579637\n",
+      "feature\t7\t-\tweight\t-0.0061876362657868585\n",
+      "feature\t0\t-\tweight\t-0.06848064266828655\n",
+      "feature\t3\t-\tweight\t-0.06851566211382039\n",
+      "feature\t6\t-\tweight\t-0.0686464268816822\n",
+      "feature\t9\t-\tweight\t-0.0692640377395642\n",
+      "Latent semantic no. 7\n",
+      "feature\t5\t-\tweight\t0.0017254022262197148\n",
+      "feature\t8\t-\tweight\t0.001702794313355738\n",
+      "feature\t2\t-\tweight\t0.0003159487432469688\n",
+      "feature\t1\t-\tweight\t-0.0020164365697178\n",
+      "feature\t4\t-\tweight\t-0.0027621541654151115\n",
+      "feature\t7\t-\tweight\t-0.002853145862649653\n",
+      "feature\t0\t-\tweight\t-0.06195980356747699\n",
+      "feature\t9\t-\tweight\t-0.06199428708500771\n",
+      "feature\t6\t-\tweight\t-0.06368714708105448\n",
+      "feature\t3\t-\tweight\t-0.06385832819997592\n",
+      "Latent semantic no. 8\n",
+      "feature\t5\t-\tweight\t0.000579681022086685\n",
+      "feature\t8\t-\tweight\t0.00023776162317446615\n",
+      "feature\t2\t-\tweight\t-8.903068121134156e-05\n",
+      "feature\t1\t-\tweight\t-0.003628410033754683\n",
+      "feature\t4\t-\tweight\t-0.004042182279091933\n",
+      "feature\t7\t-\tweight\t-0.004079610197989652\n",
+      "feature\t0\t-\tweight\t-0.07078512499474116\n",
+      "feature\t9\t-\tweight\t-0.07090128668558571\n",
+      "feature\t6\t-\tweight\t-0.07284859530849022\n",
+      "feature\t3\t-\tweight\t-0.07317257962730919\n",
+      "Latent semantic no. 9\n",
+      "feature\t5\t-\tweight\t8.414336905221735e-05\n",
+      "feature\t8\t-\tweight\t5.6427744439484355e-05\n",
+      "feature\t2\t-\tweight\t-0.00016083066069906443\n",
+      "feature\t1\t-\tweight\t-0.0028491737945443647\n",
+      "feature\t4\t-\tweight\t-0.003057268122115886\n",
+      "feature\t7\t-\tweight\t-0.003069397622655647\n",
+      "feature\t0\t-\tweight\t-0.06533602471133236\n",
+      "feature\t3\t-\tweight\t-0.06579569084919401\n",
+      "feature\t6\t-\tweight\t-0.06579792129352352\n",
+      "feature\t9\t-\tweight\t-0.06583901427338712\n",
+      "Showing label-weight latent semantic\n",
+      "Latent semantic no. 0\n",
+      "label\t3\t-\tweight\t1.0\n",
+      "label\t0\t-\tweight\t0.0\n",
+      "label\t1\t-\tweight\t0.0\n",
+      "label\t2\t-\tweight\t0.0\n",
+      "label\t4\t-\tweight\t0.0\n",
+      "label\t5\t-\tweight\t0.0\n",
+      "label\t6\t-\tweight\t0.0\n",
+      "label\t7\t-\tweight\t0.0\n",
+      "label\t8\t-\tweight\t0.0\n",
+      "label\t9\t-\tweight\t0.0\n",
+      "Latent semantic no. 1\n",
+      "label\t5\t-\tweight\t0.9999999999999999\n",
+      "label\t0\t-\tweight\t0.0\n",
+      "label\t1\t-\tweight\t0.0\n",
+      "label\t2\t-\tweight\t0.0\n",
+      "label\t3\t-\tweight\t0.0\n",
+      "label\t4\t-\tweight\t0.0\n",
+      "label\t6\t-\tweight\t0.0\n",
+      "label\t7\t-\tweight\t0.0\n",
+      "label\t8\t-\tweight\t0.0\n",
+      "label\t9\t-\tweight\t0.0\n",
+      "Latent semantic no. 2\n",
+      "label\t1\t-\tweight\t0.9999999999999998\n",
+      "label\t0\t-\tweight\t0.0\n",
+      "label\t2\t-\tweight\t0.0\n",
+      "label\t3\t-\tweight\t0.0\n",
+      "label\t4\t-\tweight\t0.0\n",
+      "label\t5\t-\tweight\t0.0\n",
+      "label\t6\t-\tweight\t0.0\n",
+      "label\t7\t-\tweight\t0.0\n",
+      "label\t8\t-\tweight\t0.0\n",
+      "label\t9\t-\tweight\t0.0\n",
+      "Latent semantic no. 3\n",
+      "label\t0\t-\tweight\t0.9999999999999994\n",
+      "label\t1\t-\tweight\t0.0\n",
+      "label\t2\t-\tweight\t0.0\n",
+      "label\t3\t-\tweight\t0.0\n",
+      "label\t4\t-\tweight\t0.0\n",
+      "label\t5\t-\tweight\t0.0\n",
+      "label\t6\t-\tweight\t0.0\n",
+      "label\t7\t-\tweight\t0.0\n",
+      "label\t8\t-\tweight\t0.0\n",
+      "label\t9\t-\tweight\t0.0\n",
+      "Latent semantic no. 4\n",
+      "label\t94\t-\tweight\t1.0000000000000007\n",
+      "label\t0\t-\tweight\t0.0\n",
+      "label\t1\t-\tweight\t0.0\n",
+      "label\t2\t-\tweight\t0.0\n",
+      "label\t3\t-\tweight\t0.0\n",
+      "label\t4\t-\tweight\t0.0\n",
+      "label\t5\t-\tweight\t0.0\n",
+      "label\t6\t-\tweight\t0.0\n",
+      "label\t7\t-\tweight\t0.0\n",
+      "label\t8\t-\tweight\t0.0\n",
+      "Latent semantic no. 5\n",
+      "label\t55\t-\tweight\t1.0\n",
+      "label\t0\t-\tweight\t0.0\n",
+      "label\t1\t-\tweight\t0.0\n",
+      "label\t2\t-\tweight\t0.0\n",
+      "label\t3\t-\tweight\t0.0\n",
+      "label\t4\t-\tweight\t0.0\n",
+      "label\t5\t-\tweight\t0.0\n",
+      "label\t6\t-\tweight\t0.0\n",
+      "label\t7\t-\tweight\t0.0\n",
+      "label\t8\t-\tweight\t0.0\n",
+      "Latent semantic no. 6\n",
+      "label\t12\t-\tweight\t0.9999999999999998\n",
+      "label\t0\t-\tweight\t0.0\n",
+      "label\t1\t-\tweight\t0.0\n",
+      "label\t2\t-\tweight\t0.0\n",
+      "label\t3\t-\tweight\t0.0\n",
+      "label\t4\t-\tweight\t0.0\n",
+      "label\t5\t-\tweight\t0.0\n",
+      "label\t6\t-\tweight\t0.0\n",
+      "label\t7\t-\tweight\t0.0\n",
+      "label\t8\t-\tweight\t0.0\n",
+      "Latent semantic no. 7\n",
+      "label\t63\t-\tweight\t0.9999999999999997\n",
+      "label\t0\t-\tweight\t0.0\n",
+      "label\t1\t-\tweight\t0.0\n",
+      "label\t2\t-\tweight\t0.0\n",
+      "label\t3\t-\tweight\t0.0\n",
+      "label\t4\t-\tweight\t0.0\n",
+      "label\t5\t-\tweight\t0.0\n",
+      "label\t6\t-\tweight\t0.0\n",
+      "label\t7\t-\tweight\t0.0\n",
+      "label\t8\t-\tweight\t0.0\n",
+      "Latent semantic no. 8\n",
+      "label\t46\t-\tweight\t1.0\n",
+      "label\t0\t-\tweight\t0.0\n",
+      "label\t1\t-\tweight\t0.0\n",
+      "label\t2\t-\tweight\t0.0\n",
+      "label\t3\t-\tweight\t0.0\n",
+      "label\t4\t-\tweight\t0.0\n",
+      "label\t5\t-\tweight\t0.0\n",
+      "label\t6\t-\tweight\t0.0\n",
+      "label\t7\t-\tweight\t0.0\n",
+      "label\t8\t-\tweight\t0.0\n",
+      "Latent semantic no. 9\n",
+      "label\t93\t-\tweight\t1.0000000000000002\n",
+      "label\t0\t-\tweight\t0.0\n",
+      "label\t1\t-\tweight\t0.0\n",
+      "label\t2\t-\tweight\t0.0\n",
+      "label\t3\t-\tweight\t0.0\n",
+      "label\t4\t-\tweight\t0.0\n",
+      "label\t5\t-\tweight\t0.0\n",
+      "label\t6\t-\tweight\t0.0\n",
+      "label\t7\t-\tweight\t0.0\n",
+      "label\t8\t-\tweight\t0.0\n"
+     ]
+    }
+   ],
    "source": [
     "selected_feature_model = valid_feature_models[\n",
     "    str(input(\"Enter feature model - one of \" + str(list(valid_feature_models.keys()))))\n",
@@ -59,7 +401,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,
diff --git a/Phase 2/task_9.ipynb b/Phase 2/task_9.ipynb
index 5c99624..c57a926 100644
--- a/Phase 2/task_9.ipynb	
+++ b/Phase 2/task_9.ipynb	
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 197,
+   "execution_count": 207,
    "metadata": {},
    "outputs": [
     {
@@ -21,7 +21,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 198,
+   "execution_count": 208,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 199,
+   "execution_count": 209,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -45,14 +45,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 200,
+   "execution_count": 210,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "image_sim-cm_fd-kmeans-10-semantics.json loaded\n"
+      "cm_fd-cp-10-semantics.json loaded\n"
      ]
     }
    ],
@@ -109,7 +109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 201,
+   "execution_count": 211,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -200,7 +200,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 202,
+   "execution_count": 233,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def extract_similarities_ls2(data, label):\n",
+    "\n",
+    "  LS = np.array(data[\"label-semantic\"])\n",
+    "  S = np.array(data[\"semantics-core\"])\n",
+    "\n",
+    "  if len(S.shape) == 1:\n",
+    "    S = np.diag(S)\n",
+    "\n",
+    "  comparison_vector = LS[label]\n",
+    "  comparison_feature_space = np.matmul(LS, S)\n",
+    "\n",
+    "  distances = []\n",
+    "\n",
+    "  n = len(comparison_feature_space)\n",
+    "  for i in range(n):\n",
+    "    if i != label:\n",
+    "      distances.append({\"label\": i, \"distance\": math.dist(comparison_vector, comparison_feature_space[i])})\n",
+    "  \n",
+    "  distances = sorted(distances, key=lambda x: x[\"distance\"], reverse=False)[:knum]\n",
+    "\n",
+    "  for x in distances:\n",
+    "    print(x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 234,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -238,23 +268,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 203,
+   "execution_count": 235,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'image_id': 1596, 'label': 13, 'distance': 10.699607616770502}\n",
-      "{'image_id': 81, 'label': 0, 'distance': 11.42726536242745}\n",
-      "{'image_id': 3045, 'label': 57, 'distance': 12.5398964971548}\n",
-      "{'image_id': 311, 'label': 1, 'distance': 13.106117374912184}\n",
-      "{'image_id': 2671, 'label': 47, 'distance': 14.239608716065096}\n",
-      "{'image_id': 1923, 'label': 23, 'distance': 15.409297843450119}\n",
-      "{'image_id': 3471, 'label': 74, 'distance': 15.417780769047727}\n",
-      "{'image_id': 4108, 'label': 94, 'distance': 17.628035952336866}\n",
-      "{'image_id': 1547, 'label': 12, 'distance': 19.28128511589925}\n",
-      "{'image_id': 3115, 'label': 59, 'distance': 19.762521112658867}\n"
+      "{'label': 2, 'distance': 0.9999999999999999}\n",
+      "{'label': 4, 'distance': 0.9999999999999999}\n",
+      "{'label': 6, 'distance': 0.9999999999999999}\n",
+      "{'label': 7, 'distance': 0.9999999999999999}\n",
+      "{'label': 8, 'distance': 0.9999999999999999}\n",
+      "{'label': 9, 'distance': 0.9999999999999999}\n",
+      "{'label': 10, 'distance': 0.9999999999999999}\n",
+      "{'label': 11, 'distance': 0.9999999999999999}\n",
+      "{'label': 13, 'distance': 0.9999999999999999}\n",
+      "{'label': 14, 'distance': 0.9999999999999999}\n"
      ]
     }
    ],
@@ -268,6 +298,10 @@
     "  case \"label_sim\":\n",
     "\n",
     "    extract_similarities_ls3(selected_dim_reduction_method, data, label)\n",
+    "\n",
+    "  case \"cp\":\n",
+    "\n",
+    "    extract_similarities_ls2(data, label)\n",
     "    "
    ]
   },