K Means Clustering, Hierarchical Clustering, Machine Learning, Dendrogram, Silhouette Score.
a hierarchy of clusters, allowing for exploration of different levels of granularity. Cluster Shape: K-means clustering: K-means assumes that the clusters are spherical and have similar sizes. It tries to minimize the within-cluster sum of squares, making it suitable for datasets with