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Unsupervised Learning
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Clustering
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Hierarchical clustering
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17.
Agglomerative vs Divisive Clustering
easy
What is the difference between agglomerative and divisive hierarchical clustering?
A
Agglomerative uses top-down splitting while divisive uses bottom-up merging of similar groups throughout the clustering process
B
Agglomerative starts with each sample as its own cluster and merges; divisive starts with one cluster and splits
C
Agglomerative requires K to be specified in advance while divisive discovers K from the data structure
D
Agglomerative minimizes within-cluster variance while divisive maximizes between-cluster separation
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