import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

from sklearn.cluster import DBSCAN
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import normalize
from sklearn.decomposition import PCA

dataset = pd.read_csv('dataset.csv')
X=dataset.loc[:,['latitude1','longitude1']]


plt.scatter(X['longitude1'],X['latitude1'])
plt.xlim()
plt.ylim(33,37)
plt.show(-76,-83)
plt.show()

dbscan = DBSCAN(eps= 0.10,min_samples = 10).fit_predict(X)