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What is Understanding Agglomerative Clustering about?

Agglomerative clustering is a hierarchical clustering method that starts with each data point as an individual cluster and merges them based on similarity until one large cluster remains, represented by a dendrogram. The process involves initializing clusters, calculating a distance matrix, merging the closest clusters, updating the matrix, and iterating until completion. This method effectively organizes data into a hierarchy based on the chosen distance metric.

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