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Unsupervised Learning
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Clustering
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Hierarchical clustering
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360.
Hierarchical Clustering Output
easy
What is the key output of hierarchical clustering that distinguishes it from K-means?
A
A probability distribution over cluster memberships for each sample in the dataset
B
A fixed set of K cluster assignments optimized by minimizing within-cluster variance
C
A ranked list of the most representative samples from each discovered cluster
D
A dendrogram showing the nested merge or split history of all clusters at every level
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