Each distance metric has its own function for speed/efficiency This takes a sample X feature matrix and returns a matrix of k nearest neighbors. This is the one for Euclidean.
calcKNNgraph_euclidean(x, k = 1L)
An m x n numeric matrix
The number of nearest neighbors to return per sample
An m x k matrix of indicies 1...k of the nearest neighbors for the specified row based on Euclidean distance.
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