K-Means Model with 4 Clusters
Let's try to improve clustering results using the split on 4 separate clusters.
Tarea
Swipe to start coding
- Evaluate the
KMeanswith 4 clusters. - Fit the algorithm.
Solución
kmeans = KMeans(n_clusters=4, random_state=0)
kmeans.fit(X)
# check how many of the samples were correctly labeled
labels = kmeans.labels_
correct_labels = sum(y == labels)
print("Result: %d out of %d samples were correctly labeled." % (correct_labels, y.size))
print("Accuracy score: {0:0.2f}". format(correct_labels/float(y.size)))
Congratulations on completing the Clustering Project!
Mark tasks as Completed
¿Todo estuvo claro?
¡Gracias por tus comentarios!
Sección 1. Capítulo 11
AVAILABLE TO ULTIMATE ONLY
