cluster_kmeans {daltoolbox} | R Documentation |
k-means
Description
Creates a clusterer object that uses the k-means method It wraps the stats library.
Usage
cluster_kmeans(k = 1)
Arguments
k |
the number of clusters to form. |
Value
returns a k-means object.
Examples
# setup clustering
model <- cluster_kmeans(k=3)
#load dataset
data(iris)
# build model
model <- fit(model, iris[,1:4])
clu <- cluster(model, iris[,1:4])
table(clu)
# evaluate model using external metric
eval <- evaluate(model, clu, iris$Species)
eval
[Package daltoolbox version 1.2.707 Index]