• Hierarchical Agglomerative Clustering: This method utilizes a bottom-up approach that starts with each data point as a separate cluster and iteratively merges the closest pairs of clusters until a single cluster remains. This process creates a hierarchical structure called a dendrogram, which can be cut at different levels to obtain clusters of varying granularity.