yakmoR (version 0.1.1)

orthoKMeansTrainCpp: K-Means using yakmo library

Description

K-Means using yakmo library

Usage

orthoKMeansTrainCpp(x, rounds = 1L, k = 3L, iter = 100L, initType = 0L, verbose = FALSE)

Arguments

x

data matrix

rounds

number of rounds (orthogonal views)

k

number of clusters

iter

numer of iterations in one round

initType

centroid initialization via Random or KMeans++

verbose

verbose output?

Value

a list consisting of centers these are the resulting centroids of the kmean algorithm (as a std::vector of NumericMatrix) cluster these are the labels for the resulting clustering (as a std::vector of NumericVector) obj this is a vector with the final objective value for each round