orthoKMeansTrainCpp: K-Means using yakmo library

In aydindemircioglu/yakmoR: A Simple Wrapper for the k-Means Library Yakmo

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

aydindemircioglu/yakmoR documentation built on May 11, 2019, 4:14 p.m.