K Means Clustering, Hierarchical Clustering, Machine Learning, Dendrogram, Silhouette Score.
centroids. Scalability: K-means clustering is computationally efficient and can handle large datasets with a reasonable number of clusters. It is suitable for applications where efficiency is important. Interpretability: The resulting clusters in K-means clustering can be easily interpreted since