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)
for k in K:
    model = KMeans(n_clusters=k, random_state=12345)
    model.fit(data)
    distortion = model.inertia_
    plt.figure(figsize=(12, 8))
    plt.plot(K, distortion, 'bx-')
    plt.xlabel('Число кластеров')
    plt.ylabel('Значение целевой функции')
    plt.show()