Agglomerative (Hierarchical Clustering)

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Last updated 3:17 AM on 11/18/24
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8 Terms

1
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Why would you use Hierarchical Clustering?

To visualize cluster structures using a dendrogram

2
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What is a limitation of using Hierarchical Clustering?

It can be computationally intensive, so it's not ideal for very large datasets

3
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Initialization

Treat each data point as a single cluster

4
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Compute Distance

Calculate distances between cluster pairs

5
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Merge Clusters

Merge the two closest clusters into one

6
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Update Distance Matrix

Update the distance matrix to reflect the distance between the new cluster and the original clusters

7
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Repeat

Repeat steps 2–4 until all data points are merged into one cluster

8
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Dendrogram

A dendrogram, or a tree diagram, is used to visualize the process of clustering

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