I have formed my custers using DBSCAN. Now in case of KMeans I am aware that we use elbow method to get the value of K and we can use silhoutte score and plots either to determine the value of K or to evaluate K that was earlier derived from elbow method. What can be used other than Silhoutte score in case of DBSCAN?
from sklearn.cluster import DBSCAN
object=DBSCAN(eps=5, min_samples=4)
model=object.fit(df_ml)
labels=model.labels_
#Silhoutte score to evaluate clusters
from sklearn.metrics import silhouette_score
print(silhouette_score(df_ml, labels))
Is there any evaluation parameter other than this?