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Agglomerative Clustering

[əˈɡlɒmərətɪv ˈklʌstərɪŋ]
Machine Learning
Last updated: December 9, 2024

Definition

A hierarchical clustering approach that builds nested clusters by merging closer clusters.

Detailed Explanation

Agglomerative clustering starts with each point as a cluster and iteratively merges the closest pairs of clusters. It produces a dendrogram showing the hierarchy of clusters. The algorithm requires choosing a linkage criterion (e.g., single, complete, average) and can use various distance metrics.

Use Cases

1. Biological taxonomy 2. Document hierarchies 3. Social network analysis 4. Customer segmentation

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