clustering.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clustering\n",
    "* Notebook used to reduce the number of genres in the dataset to only 18 via a combination of agglomerative clustering and manual input\n",
    "* Generated a .csv file from the resulting 'simplified' data (stored under `data/spotify_clean.csv`)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>popularity</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>explicit</th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>key</th>\n",
       "      <th>loudness</th>\n",
       "      <th>mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>liveness</th>\n",
       "      <th>valence</th>\n",
       "      <th>tempo</th>\n",
       "      <th>time_signature</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>track_genre</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>acoustic</th>\n",
       "      <td>0.736338</td>\n",
       "      <td>-0.287149</td>\n",
       "      <td>-0.300480</td>\n",
       "      <td>-0.180732</td>\n",
       "      <td>-1.186451</td>\n",
       "      <td>-0.873104</td>\n",
       "      <td>-0.321029</td>\n",
       "      <td>1.536988</td>\n",
       "      <td>-0.614531</td>\n",
       "      <td>1.076677</td>\n",
       "      <td>-0.623400</td>\n",
       "      <td>-0.784059</td>\n",
       "      <td>-0.373230</td>\n",
       "      <td>-0.337872</td>\n",
       "      <td>-0.157990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>afrobeat</th>\n",
       "      <td>-0.823863</td>\n",
       "      <td>0.464187</td>\n",
       "      <td>-0.562029</td>\n",
       "      <td>0.865356</td>\n",
       "      <td>0.373197</td>\n",
       "      <td>0.941325</td>\n",
       "      <td>0.139604</td>\n",
       "      <td>-0.968784</td>\n",
       "      <td>-0.024103</td>\n",
       "      <td>-0.200820</td>\n",
       "      <td>0.479033</td>\n",
       "      <td>-0.373596</td>\n",
       "      <td>1.525727</td>\n",
       "      <td>-0.307932</td>\n",
       "      <td>0.339025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alt-rock</th>\n",
       "      <td>0.810516</td>\n",
       "      <td>0.131978</td>\n",
       "      <td>-0.488993</td>\n",
       "      <td>-0.196342</td>\n",
       "      <td>0.659874</td>\n",
       "      <td>1.815214</td>\n",
       "      <td>0.625431</td>\n",
       "      <td>-0.015982</td>\n",
       "      <td>-0.513097</td>\n",
       "      <td>-0.879232</td>\n",
       "      <td>-0.517751</td>\n",
       "      <td>0.043002</td>\n",
       "      <td>0.356458</td>\n",
       "      <td>0.051079</td>\n",
       "      <td>0.290183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alternative</th>\n",
       "      <td>-1.704503</td>\n",
       "      <td>-0.570287</td>\n",
       "      <td>1.669451</td>\n",
       "      <td>0.519720</td>\n",
       "      <td>0.137168</td>\n",
       "      <td>-1.657316</td>\n",
       "      <td>0.616622</td>\n",
       "      <td>-0.724802</td>\n",
       "      <td>-0.041795</td>\n",
       "      <td>-0.547433</td>\n",
       "      <td>-0.650990</td>\n",
       "      <td>-0.309448</td>\n",
       "      <td>0.267793</td>\n",
       "      <td>-0.659987</td>\n",
       "      <td>0.533182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ambient</th>\n",
       "      <td>0.860693</td>\n",
       "      <td>-0.035901</td>\n",
       "      <td>-0.654370</td>\n",
       "      <td>-1.800736</td>\n",
       "      <td>-2.424870</td>\n",
       "      <td>-1.278296</td>\n",
       "      <td>-3.189106</td>\n",
       "      <td>-0.202973</td>\n",
       "      <td>-0.624809</td>\n",
       "      <td>2.100194</td>\n",
       "      <td>2.600445</td>\n",
       "      <td>-1.139316</td>\n",
       "      <td>-2.134621</td>\n",
       "      <td>-1.306927</td>\n",
       "      <td>-2.312860</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             popularity  duration_ms  explicit  danceability    energy  \\\n",
       "track_genre                                                              \n",
       "acoustic       0.736338    -0.287149 -0.300480     -0.180732 -1.186451   \n",
       "afrobeat      -0.823863     0.464187 -0.562029      0.865356  0.373197   \n",
       "alt-rock       0.810516     0.131978 -0.488993     -0.196342  0.659874   \n",
       "alternative   -1.704503    -0.570287  1.669451      0.519720  0.137168   \n",
       "ambient        0.860693    -0.035901 -0.654370     -1.800736 -2.424870   \n",
       "\n",
       "                  key  loudness      mode  speechiness  acousticness  \\\n",
       "track_genre                                                            \n",
       "acoustic    -0.873104 -0.321029  1.536988    -0.614531      1.076677   \n",
       "afrobeat     0.941325  0.139604 -0.968784    -0.024103     -0.200820   \n",
       "alt-rock     1.815214  0.625431 -0.015982    -0.513097     -0.879232   \n",
       "alternative -1.657316  0.616622 -0.724802    -0.041795     -0.547433   \n",
       "ambient     -1.278296 -3.189106 -0.202973    -0.624809      2.100194   \n",
       "\n",
       "             instrumentalness  liveness   valence     tempo  time_signature  \n",
       "track_genre                                                                  \n",
       "acoustic            -0.623400 -0.784059 -0.373230 -0.337872       -0.157990  \n",
       "afrobeat             0.479033 -0.373596  1.525727 -0.307932        0.339025  \n",
       "alt-rock            -0.517751  0.043002  0.356458  0.051079        0.290183  \n",
       "alternative         -0.650990 -0.309448  0.267793 -0.659987        0.533182  \n",
       "ambient              2.600445 -1.139316 -2.134621 -1.306927       -2.312860  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "pd.options.display.max_columns = 200\n",
    "\n",
    "songs = pd.read_csv('data/spotify_clean.csv', index_col=[0])\n",
    "# Drop non-numerical attributes\n",
    "songs_og = songs.copy()\n",
    "songs = songs.drop(columns = [\"track_id\", \"artists\", \"album_name\", \"track_name\"])\n",
    "# Convert boolean column to int\n",
    "songs['explicit'] = songs['explicit'].astype(int)\n",
    "\n",
    "# Use aggregated dataset to perform agglomerative clustering (its faster than on the full datset)\n",
    "by_genre = songs.groupby('track_genre').mean()\n",
    "# Normalize data before clustering since clustering relies on distances\n",
    "scaler = StandardScaler()\n",
    "by_genre[by_genre.columns] = scaler.fit_transform(by_genre.values)\n",
    "by_genre.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.cluster.hierarchy import dendrogram, linkage\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# create the hierarchical clustering\n",
    "Z = linkage(by_genre, 'average')\n",
    "\n",
    "plt.figure(figsize=(20, 10))\n",
    "# plot the dendrogram\n",
    "dendrogram(Z, labels=list(by_genre.index))\n",
    "# set the plot title\n",
    "plt.title('Hierarchical Clustering Dendrogram')\n",
    "plt.xlabel('Song genre')\n",
    "plt.ylabel('distance')\n",
    "plt.xticks(fontsize=11)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Manual grouping based on dendrogram (18 genres)\n",
    "* Hand-crafted the following grouping based on the info on the dendrogram and by googling the parent genres of each genre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "genre_mapping = {\n",
    "    'sleep': set(['sleep']),\n",
    "    'comedy': set(['comedy']),\n",
    "    'ambient': set(['ambient', 'piano', 'guitar', 'study', 'sad', 'chill', 'new-age']),\n",
    "    'children': set(['children', 'kids','disney']),\n",
    "    'classical': set(['classical', 'opera', 'romance']),\n",
    "    'show-tunes': set(['show-tunes', 'singer-songwriter', 'songwriter']),\n",
    "    'folk': set(['folk', 'gospel', 'jazz', 'soul', 'funk', 'afrobeat', 'blues', 'r-n-b', 'groove', 'disco']),\n",
    "    'country': set(['honky-tonk', 'bluegrass', 'country']),\n",
    "    'pop': set(['pop', 'indie-pop', 'pop-film', 'k-pop', 'j-idol', 'j-pop', 'power-pop', 'synth-pop']),\n",
    "    'rock': set(['indie', 'rock-n-roll', 'punk-rock', 'rock', 'alternative', 'j-rock', 'rockabilly', 'psych-rock', 'goth', 'punk', 'hard-rock', 'alt-rock', 'hardcore', 'emo', 'acoustic']),\n",
    "    'hip-hop': set(['trip-hop', 'hip-hop']),\n",
    "    'metal': set(['grindcore', 'metalcore', 'grunge', 'metal', 'black-metal', 'death-metal', 'heavy-metal']),\n",
    "    'edm': set(['idm', 'edm', 'party', 'dance', 'j-dance', 'club', 'garage', 'electronic', 'electro', 'dubstep', 'industrial',  'house', 'progressive-house', 'deep-house']),\n",
    "    'techno': set(['techno', 'minimal-techno', 'chicago-house', 'detroit-techno', 'breakbeat', 'trance', 'hardstyle', 'happy', 'drum-and-bass']),\n",
    "    'world': set(['world-music', 'mandopop', 'cantopop', 'malay', 'anime', 'indian', 'iranian']),\n",
    "    'european': set(['british', 'german', 'french', 'swedish', 'turkish']),\n",
    "    'latin': set(['latin', 'latino', 'salsa', 'tango', 'spanish', 'reggaeton', 'brazil', 'sertanejo', 'forro', 'pagode', 'samba', 'mpb']),\n",
    "    'reggae': set(['reggae', 'ska', 'dub', 'dancehall'])\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Check that I didn't forget or misspell any of the original music genres\n",
    "for genre in songs['track_genre'].unique():\n",
    "    found = False\n",
    "    for subgenres in genre_mapping.values():\n",
    "        if genre in subgenres:\n",
    "            found = True\n",
    "            break\n",
    "    if not found:\n",
    "        print(f'Missing or misspelled genre: {genre}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unique genres before transformation: 114\n"
     ]
    }
   ],
   "source": [
    "# Apply new genre groupping to entire dataset\n",
    "songs = pd.read_csv('data/spotify_clean.csv', index_col=[0])\n",
    "print(f\"Unique genres before transformation: {len(songs['track_genre'].unique())}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unique genres after transformation: 18\n"
     ]
    }
   ],
   "source": [
    "modified_genres = []\n",
    "for i in range(len(songs)):\n",
    "    genre = songs['track_genre'].iloc[i]\n",
    "    for parent_genre, sub_genres in genre_mapping.items():\n",
    "        if genre in sub_genres:\n",
    "            modified_genres.append(parent_genre)\n",
    "            break\n",
    "songs['track_genre'] = modified_genres\n",
    "print(f\"Unique genres after transformation: {len(songs['track_genre'].unique())}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save new dataset\n",
    "songs.to_csv('data/spotify_simplified.csv')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ml",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}