Hierarchical Clustering unsupervised learning algorithm in which each
element treated as a standalone cluster.
Working of hierarchical clustering:
Hierarchical Clustering unsupervised learning algorithm in which each element treated as a standalone cluster and then iteration executes the following steps:Firstly: identify the two clusters that are closest together
Secondly: Merge the two most similar clusters together. And this iteration continues until all the similar clusters are merged together.
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