Hierarchical Clustering

Hierarchical Clustering algorithms give a nice introduction to unsupervised machine learning. The algorithm seeks to group similar items together into a set of clusters. It repeatedly checks the minimum distance of an element outside of any cluster to its nearest cluster and if this distance is less than some max value, the element is added to the cluster.

Number of Points:
Maximum Distance:


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