# NOT RUN {
# Import data.
fname <- system.file("extdata", "finndiane.txt", package = "Numero")
dataset <- read.delim(file = fname)
# Prepare training data.
trvars <- c("CHOL", "HDL2C", "TG", "CREAT", "uALB")
trdata <- scale.default(dataset[,trvars])
# Unbalanced K-means clustering.
km0 <- nroKmeans(data = trdata, k = 5, balance = 0.0)
print(table(km0$layout$BMC))
print(km0$centroids)
# Balanced K-means clustering.
km1 <- nroKmeans(data = trdata, k = 5, balance = 1.0)
print(table(km1$layout$BMC))
print(km1$centroids)
# }
Run the code above in your browser using DataCamp Workspace