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Run K-means for clustering.
KMEANS(
d,
k = 9,
criterion = c("none", "pseudo-F"),
graph = FALSE,
nstart = 10,
...
)The clustering (kmeans object).
The dataset (matrix or data.frame).
The number of cluster.
The criterion for cluster number selection. If none, k is used, if not the number of cluster is selected between 2 and k.
A logical indicating whether or not a graphic should be plotted (cluster number selection).
Define how many random sets should be chosen.
Other parameters.
kmeans, predict.kmeans
require (datasets)
data (iris)
KMEANS (iris [, -5], k = 3)
KMEANS (iris [, -5], criterion = "pseudo-F") # With automatic detection of the nmber of clusters
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