K Means Clustering, Hierarchical Clustering, Machine Learning, Dendrogram, Silhouette Score.
sensitive to noise and outliers. Outliers can affect the merging or splitting decisions, leading to suboptimal clustering results. Another advantage of Hierarchical Clustering is that it can handle missing data points effectively. It can also be used to identify outliers in the dataset, which can