distance.ipynb

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   "source": [
    "import clusterpy as cls\n",
    "from clusterpy.core.toolboxes.cluster.componentsAlg.distanceFunctions import distMethods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
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     "text": [
      "Creating grid\n",
      "Done\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[[[(0, 30), (10, 30), (10, 20), (0, 20), (0, 30)]],\n",
       " [[(10, 30), (20, 30), (20, 20), (10, 20), (10, 30)]],\n",
       " [[(20, 30), (30, 30), (30, 20), (20, 20), (20, 30)]],\n",
       " [[(0, 20), (10, 20), (10, 10), (0, 10), (0, 20)]],\n",
       " [[(10, 20), (20, 20), (20, 10), (10, 10), (10, 20)]],\n",
       " [[(20, 20), (30, 20), (30, 10), (20, 10), (20, 20)]],\n",
       " [[(0, 10), (10, 10), (10, 0), (0, 0), (0, 10)]],\n",
       " [[(10, 10), (20, 10), (20, 0), (10, 0), (10, 10)]],\n",
       " [[(20, 10), (30, 10), (30, 0), (20, 0), (20, 10)]]]"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid = cls.createGrid(3, 3)\n",
    "grid.areas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "distMethods['Hausdorff'](grid.areas[6][0], grid.areas[1][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "collapsed": true
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   "outputs": [],
   "source": []
  }
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