RSSL (version 0.9.3)

generate2ClassGaussian: Generate data from 2 Gaussian distributed classes

Description

Generate data from 2 Gaussian distributed classes

Usage

generate2ClassGaussian(n = 10000, d = 100, var = 1, expected = TRUE)

Arguments

n

integer; Number of examples to generate

d

integer; dimensionality of the problem

var

numeric; size of the variance parameter

expected

logical; whether the decision boundary should be the expected or perpendicular

See Also

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

Examples

# NOT RUN {
data <- generate2ClassGaussian(n=1000,d=2,expected=FALSE)
plot(data[,1],data[,2],col=data$Class,asp=1)
# }