Web Reference: Feb 13, 2026 · Hierarchical Clustering is an unsupervised learning technique that groups data into a hierarchy of clusters based on similarity. It builds a tree-like structure called a dendrogram, which helps visualise relationships and decide the optimal number of clusters. Non-flat geometry clustering is useful when the clusters have a specific shape, i.e. a non-flat manifold, and the standard euclidean distance is not the right metric. This case arises in the two top rows of the figure above. Mar 23, 2025 · Hierarchical clustering is a clustering algorithm that builds a hierarchy of clusters. It starts with each data point as a separate cluster and then iteratively merges the closest clusters until all data points are in a single cluster.
YouTube Excerpt: ... video discusses, how to create clusters

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