Web Reference: Nov 27, 2025 · To group similar data points into clusters based on their proximity, Agglomerative Clustering is used which is a type of hierarchical clustering. It follows a bottom-up approach, where each data point starts as its own cluster and gradually merges with others based on similarity. In order to decide which clusters should be combined (for agglomerative), or where a cluster should be split (for divisive), a measure of dissimilarity between sets of observations is required. Apr 26, 2025 · Without requiring a set number of clusters, agglomerative clustering is a potent hierarchical clustering technique that makes it possible to find significant correlations between data points.
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