K-means method
Run K-means for clustering.
KMEANS( d, k = 9, criterion = c("none", "pseudo-F"), graph = FALSE, nstart = 10, ... )
d |
The dataset ( |
k |
The number of cluster. |
criterion |
The criterion for cluster number selection. If |
graph |
A logical indicating whether or not a graphic should be plotted (cluster number selection). |
nstart |
Define how many random sets should be chosen. |
... |
Other parameters. |
The clustering (kmeans
object).
require (datasets) data (iris) KMEANS (iris [, -5], k = 3) KMEANS (iris [, -5], criterion = "pseudo-F") # With automatic detection of the nmber of clusters
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.