clusters_km {MajKMeans} | R Documentation |
clustering results of the k-mean algorithm
Description
clusters data into two clusters. This functionis uses the kmeans
function to cluster the data and exports the clustering results as well as the sum of square (SS) of clustering using the Euclidian distance.
Usage
clusters_km(x, k = 2)
Arguments
x |
matrix of data (dim 1: samples (must be equal to dim 1 of X), dim 2: attributes (must be equal to dim 2 of X)) |
k |
number of clusters ( this version considers 2 clusters ) |
Value
sum of square (SS) of clustring
Examples
{
X=rbind(matrix(rnorm(1000*2 ,4,.1),1000,2),matrix(rnorm(1000*2, 3, 0.2),1000,2))
M <- X[sample(nrow(X), 2),]
clusters_km(X,2)
}
[Package MajKMeans version 0.1.0 Index]