formatLabelSample: Labels formatting

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

Labels formatting

Description

Format labels for unsupervised classification and add cleaned observations as 'Noise'.

Usage

formatLabelSample(
  label,
  data.sample,
  new.labels = TRUE,
  use.sampling = FALSE,
  noise.cluster = "Noise"
)

Arguments

label	vector of labels.
data.sample	sample object.
new.labels	boolean: if TRUE (default), new names are given for each cluster (beginning by 'Cluster').
use.sampling	boolean: if TRUE (not default), data.sample$sampling is used to generalize label from sampling set to the whole set.
noise.cluster	character name of the cluster "noise".

Details

formatLabelSample formats labels for unsupervised classification and adds cleaned observations as 'Noise'

Value

new.labels formatted labels.

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))
tf <- tempfile()
write.table(dat, tf, sep=",", dec=".")

x <- importSample(file.features=tf)
res <- KmeansQuick(x$features$initial$x, K=3)

new.labels <- formatLabelSample(res$cluster, x)

RclusTool documentation built on May 29, 2024, 5:23 a.m.