Kira (version 1.0.7)

kmeans: kmeans unsupervised classification.

Description

Performs kmeans unsupervised classification analysis in a data set.

Usage

kmeans(data, normalize = FALSE, num.groups = 2)

Value

groups

Original data with groups formed.

res.groups

Results of the groups formed.

R.sqt

Result of the R squared.

sum.sqt

Total sum of squares.

Arguments

data

Data to be analyzed.

normalize

Normalize the data (default = FALSE).

num.groups

Number of groups to be formed (default = 2).

Author

Paulo Cesar Ossani

References

Rencher, A. C. Methods of multivariate analysis. 2th. ed. New York: J.Wiley, 2002. 708 p.

Mingoti, S. A. analysis de dados atraves de metodos de estatistica multivariada: uma abordagem aplicada. Belo Horizonte: UFMG, 2005. 297 p.

Ferreira, D. F. Estatistica Multivariada. 2a ed. revisada e ampliada. Lavras: Editora UFLA, 2011. 676 p.

Examples

data(iris) # data set

data <- iris

res <- kmeans(data[,1:4], normalize = FALSE, num.groups = 3)
 
message("R squared: ", res$R.sqt)             
# message("Total sum of squares: ", res$sum.sqt)
message("Groups formed:"); res$groups
# message("Table with the results of the groups:"); res$res.groups

#write.table(file=file.path(tempdir(),"GroupData.csv"), res$groups, sep=";",
#            dec=",",row.names = TRUE)