| generate2ClassGaussian {RSSL} | R Documentation |
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
data <- generate2ClassGaussian(n=1000,d=2,expected=FALSE)
plot(data[,1],data[,2],col=data$Class,asp=1)
[Package RSSL version 0.9.7 Index]