Arrange the following steps in the correct sequence for applying an unsupervised learning technique such as K-means clustering is to a data set:
(A) Randomly initialize cluster centroids
(B) Assign each data point to nearest cluster centroid
(C) Update the cluster centroids based on the mean of data points assigned to each cluster
(D) Specify the number of clusters (K) to partation the data into
(E) Repeat steps B and C until convergence criteria are met
Choose the correct answer from the options given below:
1
(D), (A), (B), (C), (E)
2
(A), (B), (C), (D), (E)
3
(C), (B), (A), (D), (E)
4
(D), (C), (A), (B), (E)