K-means is an unsupervised learning algorithm. In K-means, k refers to the number of clusters. We have several methods to find the optimal number of clusters in K-means algorithm. Which of the following methods can give optimal (best) number of clusters?
A. Manhattan method
B. Elbow method
C. Euclidean method
D. Silhouette method
Answer:D
K-means is an unsupervised learning algorithm. In K-means, k refers to the number of clusters. We have several methods to find the optimal number of clusters in K-means algorithm. Which of the following methods can give optimal (best) number of clusters?
A. Manhattan method B. Elbow method C. Euclidean method D. Silhouette method