Clustering, Machine Learning, Python, Unsupervised Learning, Artificial Intelligence.
criterion is met. (Bottom-up approach) Divisive: It takes the opposite approach, starting with a single cluster representing all data points and recursively dividing it into smaller clusters based on dissimilarity. At each step, the algorithm chooses a cluster and splits it into two or more