K Means Clustering, Hierarchical Clustering, Machine Learning, Dendrogram, Silhouette Score.
of clusters in advance, determining the appropriate number of clusters from the dendrogram can be subjective and challenging. It often requires visual inspection or additional techniques such as cutting the dendrogram or using clustering indices. Sensitivity to Noise: Hierarchical clustering can be