View source: R/GenerateSSLData.R
generate2ClassGaussian | R Documentation |
Generate data from 2 Gaussian distributed classes
generate2ClassGaussian(n = 10000, d = 100, var = 1, expected = TRUE)
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 |
Other RSSL datasets:
generateABA()
,
generateCrescentMoon()
,
generateFourClusters()
,
generateParallelPlanes()
,
generateSlicedCookie()
,
generateSpirals()
,
generateTwoCircles()
data <- generate2ClassGaussian(n=1000,d=2,expected=FALSE)
plot(data[,1],data[,2],col=data$Class,asp=1)
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