gaussian_clusters: Generate clusters of data points from Gaussian distribution...

In ConsensusClustering: Consensus Clustering

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)
)

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

Value

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

Examples

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

ConsensusClustering documentation built on Sept. 11, 2024, 6:38 p.m.