K-means cluster discrimination in R - Cross Validated


i've run k-means cluster analysis in r , have identified 6 unique clusters. when assign cluster number raw data, see there overlaps of variables clusters. did expect because have ~20 variables.

what can manually @ frequency of each variable per cluster , compare population (the other clusters) see if there bias particular variable.

is there anyway automate process , show of variables per cluster have bias. allow me compare , contrast clusters determine unique characteristics.


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