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Sagot :
The single link agglomerative clustering algorithm groups two clusters on the basis of the maximum distance between points in the two clusters.
The statement is false.
One of numerous hierarchical clustering techniques used in statistics is single-linkage clustering. It is based on bottom-up cluster grouping (agglomerative clustering), joining two clusters at each stage that contain the nearest pair of elements that do not yet belong to the same cluster.
Each component is in its own cluster at the start of the agglomerative clustering process. Once all of the pieces are in one cluster, the clusters are gradually joined into bigger clusters. The two clusters that are apart by the smallest distance are joined at each phase. The agglomerative clustering methods differ in the function used to calculate the separation between two clusters, known as the linkage function.
Hence, the single link agglomerative clustering algorithm groups two clusters on the basis of the smallest distance between points in the two clusters.
To learn more about single-linkage clustering, refer
https://brainly.com/question/14265884
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