import numpy as np
from sklearn.cluster import KMeans
from sklearn.metrics import silhouette_score
import matplotlib.pyplot as plt

plt.subplot(3, 2, 1)

x1 = np.array([1, 2, 3, 1, 5, 6, 5, 5, 6, 7, 8, 9, 7, 9])
x2 = np.array([1, 3, 2, 2, 8, 6, 7, 6, 7, 1, 2, 1, 1, 3])
X = np.array(zip(x1, x2)).reshape(len(x1), 2)
'''
# show points at figure 1
plt.xlim([0, 10])
plt.ylim([0, 10])
plt.title('Instances')
plt.scatter(x1, x2)

colors = ['b', 'g', 'r', 'c', 'm', 'y', 'k', 'b']
markers = ['o', 's', 'D', 'v', '^', 'p', '*', '+']

clusters = [2, 3, 4, 5, 8]
subplot_counter = 1
sc.scores = []
for t in clusters:
'''	