import pandas as pd
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans

data = pd.read_csv('/datasets/cars.csv')
K=range(1,10)
plt.figure(figsize=(5, 5))
plt.grid()
for k in K:
    model=KMeans(n_clusters=k,random_state=12345)
    model.fit(data)
    distortion=model.inertia_
    plt.plot(k, distortion, 'bx-')
plt.xlabel('Число кластеров')
plt.ylabel('Значение целевой функции')
plt.show()