ConsensusClustering (version 1.5.0)

gaussian_clusters: Generate clusters of data points from Gaussian distribution with randomly generated parameters

Description

Generate clusters of data points from Gaussian distribution with randomly generated parameters

Usage

gaussian_clusters(
  n = c(50, 50),
  dim = 2,
  sd.max = 0.1,
  sd.noise = 0.01,
  r.range = c(0.1, 1)
)

Value

a list of data points (X) and cluster labels (class)

Arguments

n

vector of number of data points in each cluster The length of n should be equal to the number of clusters.

dim

number of dimensions

sd.max

maximum standard deviation of clusters

sd.noise

standard deviation of the added noise

r.range

the range (min, max) of distance of cluster centers from the origin

Examples

data = gaussian_clusters()
X = data$X
y = data$class