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Why would you use Hierarchical Clustering?
To visualize cluster structures using a dendrogram
What is a limitation of using Hierarchical Clustering?
It can be computationally intensive, so it's not ideal for very large datasets
Initialization
Treat each data point as a single cluster
Compute Distance
Calculate distances between cluster pairs
Merge Clusters
Merge the two closest clusters into one
Update Distance Matrix
Update the distance matrix to reflect the distance between the new cluster and the original clusters
Repeat
Repeat steps 2–4 until all data points are merged into one cluster
Dendrogram
A dendrogram, or a tree diagram, is used to visualize the process of clustering