Explain the significance of choosing different linkage methods in the outcome of a Hierarchical Clustering algorithm.
- Different linkage methods affect the shape and size of clusters
- Different linkage methods affect the speed of clustering only
- Different linkage methods affect the type of data that can be clustered
- Different linkage methods yield similar results
Different linkage methods in Hierarchical Clustering significantly affect the shape and size of the resulting clusters. For example, single linkage may create chain-like clusters, complete linkage may lead to compact clusters, and average linkage often results in more balanced clusters. The choice of linkage method should be guided by the underlying data characteristics.
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