03.05-DBSCAN-agrupamento.ipynb

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    "# importando as bibliotecas necessarias\n",
    "\n",
    "import plotly.express as px                             # visualização de graficos\n",
    "import plotly.graph_objects as go                       # visualização de graficos\n",
    "import numpy as np                                      # calculos matematicos\n",
    "from sklearn.preprocessing import StandardScaler        # padronização dos dados\n",
    "import matplotlib.pylab as plt                          # biblioteca graficos\n",
    "from scipy.cluster.hierarchy import dendrogram, linkage # biblioteca para fazer o dendograma\n",
    "from sklearn.cluster import DBSCAN                      # algoritmo agrumaneto BDSCAN"
   ]
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   "cell_type": "code",
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       "array([[  20, 1000],\n",
       "       [  27, 1200],\n",
       "       [  21, 2900],\n",
       "       [  37, 1850],\n",
       "       [  46,  900],\n",
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       "       [  55, 2000],\n",
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       "       [  48, 5000],\n",
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     "execution_count": 2,
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   "source": [
    "# criando um dataset para uso de algrupamento hierarquico\n",
    "\n",
    "base_salario = np.array([[20,1000],[27,1200],[21,2900],[37,1850],[46,900],\n",
    "                        [53,950],[55,2000],[47,2100],[52,3000],[32,5900],\n",
    "                        [39,4100],[41,5100],[39,7000],[48,5000],[48,6500]])\n",
    "\n",
    "# visualização após a transformação \n",
    "base_salario"
   ]
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     "execution_count": 3,
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   "source": [
    "# padronização dos dados\n",
    "\n",
    "scaler_salario = StandardScaler()\n",
    "base_salario = scaler_salario.fit_transform(base_salario)\n",
    "\n",
    "# visualização após a padronização\n",
    "base_salario"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
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     "data": {
      "text/plain": [
       "DBSCAN(eps=0.95, min_samples=2)"
      ]
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     "execution_count": 8,
     "metadata": {},
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   ],
   "source": [
    "# Criando algortimo\n",
    "\n",
    "dbscan_salario = DBSCAN(eps=0.95, min_samples=2,)\n",
    "dbscan_salario.fit(base_salario)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 9,
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    "# visualização dos rotulos\n",
    "\n",
    "rotulos = dbscan_salario.labels_\n",
    "rotulos"
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            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "x"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "y"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualização grafica\n",
    "\n",
    "grafico = px.scatter(x= base_salario[:, 0], y= base_salario[:, 1], color=rotulos)\n",
    "grafico.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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