Q. This unsupervised clustering algorithm terminates when mean values computed for the currentiteration of the algorithm are identical to the computed mean values for the previous iteration. (Solved)
1. agglomerative clustering
2. conceptual clustering
3. k-means clustering
4. expectation maximization
- c. k-means clustering