knn: k nearest neighbor algorithm for multi-variate data
In RBesT: R Bayesian Evidence Synthesis Tools

knn	R Documentation

k nearest neighbor algorithm for multi-variate data

k nearest neighbor algorithm for multi-variate data

knn(X, K = 2, init, Ninit = 50, verbose = FALSE, tol, Niter.max = 500)

`X`	data matrix, i.e. observations X dimensions
`K`	number of clusters to use
`init`	list of p and mu used for initialization
`Ninit`	number of samples used per cluster if no init argument is given
`verbose`	allows print out of progress information; in verbose mode the cluster memberships are added to the output
`tol`	smaller changes than tol in the objective function indicate convergence, if missing chosen automatically to be 1/5 of the smallest sample variance per dimension
`Niter.max`	maximum number of admissible iterations