generateSlicedCookie: Generate Sliced Cookie dataset

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

Generate Sliced Cookie dataset

Description

Generate a sliced cookie dataset: a circle with a large margin in the middle.

Usage

generateSlicedCookie(n = 100, expected = FALSE, gap = 1)

Arguments

n	integer; number of observations to generate
expected	logical; TRUE if the large margin equals the class boundary, FALSE if the class boundary is perpendicular to the large margin
gap	numeric; Size of the gap

Value

A data.frame with n objects from the sliced cookie example

See Also

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

Examples

data <- generateSlicedCookie(1000,expected=FALSE)
plot(data[,1],data[,2],col=data$Class,asp=1)

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