PCA and Hierarchical Classification in R programming languag

tekijä HajjiO

The principle of the hierarchical classification is to seek the 2 closest points according to the distance considered and one gathers them in a cluster. The points are replaced thereafter by their center. Then one seeks the closest points or clusters again to gather them into only one cluster, and this in an iterative way.

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