generateFourClusters: Generate Four Clusters dataset

In RSSL: Implementations of Semi-Supervised Learning Approaches for Classification

Generate Four Clusters dataset

Description

Generate a four clusters dataset

Usage

generateFourClusters(n = 100, distance = 6, expected = FALSE)

Arguments

n	integer; Number of observations to generate
distance	numeric; Distance between clusters (default: 6)
expected	logical; TRUE if the large margin equals the class boundary, FALSE if the class boundary is perpendicular to the large margin

See Also

Other RSSL datasets: generate2ClassGaussian(), generateABA(), generateCrescentMoon(), generateParallelPlanes(), generateSlicedCookie(), generateSpirals(), generateTwoCircles()

Examples

data <- generateFourClusters(1000,distance=6,expected=TRUE)
plot(data[,1],data[,2],col=data$Class,asp=1)

RSSL documentation built on March 31, 2023, 7:27 p.m.