K Means Clustering, Hierarchical Clustering, Machine Learning, Dendrogram, Silhouette Score.
Medium-sized Datasets: While hierarchical clustering can be computationally expensive for large datasets, it is well-suited for small to medium-sized datasets. It can handle datasets that fit into memory and does not require excessive computational resources. Clustering algorithms are valuable