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What is Agglomerative Hierarchical Clustering Guide about?

Hierarchical clustering is a method that builds a hierarchy of clusters using an agglomerative approach, starting with individual data points and merging them iteratively. The process involves computing a distance matrix, initializing clusters, merging the closest clusters, and updating the distance matrix until one cluster remains, which can be visualized using a dendrogram. An example with data points A, B, C, D, and E demonstrates the steps of this clustering method.

Author

tiya Abid

Language

EN