concept Silhouette Score in category machine learning

This is an excerpt from Manning's book How Machine Learning Works MEAP V05. Login to get full access to this book.

from sklearn.metrics import silhouette_score
 
silhouette_scores = []
for k in range(2, 11):
    model = KMeans(n_clusters=k, random_state=42)
    model.fit(scaled_X)
    silhouette_scores.append(silhouette_score(scaled_X, model.labels_))
   
best_k = np.argmax(silhouette_scores) + 2
best_silhouette = np.max(silhouette_scores)
print("Best k is: {}, with Silhouette Score: {:.2f}".format(best_k, best_silhouette))
 
plt.plot(np.arange(2, 11), silhouette_scores)
plt.xlabel("Number of Clusters")
plt.ylabel("Silhouette Score")

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