| mlbench.2dnormals {mlbench} | R Documentation |
2-dimensional Gaussian Problem
Description
Each of the cl classes consists of a 2-dimensional
Gaussian. The centers are equally spaced on a circle around the
origin with radius r.
Usage
mlbench.2dnormals(n, cl=2, r=sqrt(cl), sd=1)
Arguments
n |
number of patterns to create |
cl |
number of classes |
r |
radius at which the centers of the classes are located |
sd |
standard deviation of the Gaussians |
Value
Returns an object of class "bayes.2dnormals" with components
x |
input values |
classes |
factor vector of length n with target classes |
Examples
# 2 classes
p <- mlbench.2dnormals(500,2)
plot(p)
# 6 classes
p <- mlbench.2dnormals(500,6)
plot(p)
[Package
mlbench version 1.1-0
Index]