K Means Clustering, Hierarchical Clustering, Machine Learning, Dendrogram, Silhouette Score.
initializations can lead to different clustering results, and the algorithm may converge to sub-optimal solutions. Hierarchical clustering: Hierarchical clustering is less sensitive to initialization since it does not rely on random initialization. The clustering results are determined by the