Clustering, Artificial Intelligence, Machine Learning, AI, Data Science.
worth noting that the selection of k is sensitive to the random initialization of the algorithm, which can affect the resulting clusters. As a result, it is often necessary to experiment with different values of k in order to find the optimal number of clusters for a given dataset. The algorithm