For each observation the euclidean distance to each of the cluster centres is calculated and cluster with the smallest distance is return for that observation.
a matrix (n x m) to be clustered
matrix of cluster means (k x m), wher k is the number of clusters.
vector of cluster allocations, n values ranging from 1 to k.
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