saveClustering: Clustering saving

In RclusTool: Graphical Toolbox for Clustering and Classification of Data Frames

Clustering saving

Description

Save a clustering result in a csv file.

Usage

saveClustering(filename.csv, label, dir)

Arguments

filename.csv	character vector specifying the path and the name of the csv file.
label	vector of labels.
dir	character vector specifying the directory where to save the csv file.

Details

saveClustering saves a clustering result in a csv file

Value

csv file containing clustering result.

See Also

buildClusteringSample

Examples

dat <- rbind(matrix(rnorm(100, mean = 0, sd = 0.3), ncol = 2), 
             matrix(rnorm(100, mean = 2, sd = 0.3), ncol = 2), 
             matrix(rnorm(100, mean = 4, sd = 0.3), ncol = 2))
tf1 <- tempfile()
write.table(dat, tf1, sep=",", dec=".")

x <- importSample(file.features=tf1, dir.save=tempdir())
res <- KmeansQuick(x$features$initial$x, K=3)

tf2 <- tempfile()
saveClustering(basename(tf2), res$cluster, tempdir())

RclusTool documentation built on Aug. 29, 2022, 9:07 a.m.