Can you explain the complete linkage method in Hierarchical Clustering?
- Using maximum distance between any two points in clusters
- Using mean distance between all pairs in clusters
- Using minimum distance between any two points in clusters
- Using total distance between all points in clusters
The complete linkage method in Hierarchical Clustering uses the maximum distance between any two points in the clusters to determine the linkage. It ensures that clusters are as compact as possible by focusing on the farthest points, which can sometimes lead to chain-like clusters.
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