sort data into existing clusters created by hclust() in R

The name of the pictureThe name of the pictureThe name of the pictureClash Royale CLAN TAG#URR8PPP


sort data into existing clusters created by hclust() in R



I'm new to R as well as to Stack overflow so please excuse any mistakes:



I have performed a hierarchial clustering of matrices with hclust(). Now I have 5 clusters of which i would like to somehow save information so that at a later point I can define to which cluster given additional matrices (same dimensions) would fit the best.



I did this with kmean clustering before and used the minimal distance of the new data to any of these centroids. Is the same procedure recommended in this case and does it depend on the method(Ward etc.) ? Do you have any suggestions for improvement?



thanks heaps









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