2-dimensional Gaussian Problem
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
|
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
.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)