Ringnorm Benchmark Problem
Usage
mlbench.ringnorm(n, d=20)
Arguments
n
|
number of patterns to create
|
d
|
dimension of the ringnorm problem
|
Description
The inputs of the ringnorm problem are points from two Gaussian
distributions. Class 1 is multivariate normal with mean 0 and
covariance 4 times the identity matrix. Class 2 has unit covariance
and mean (a,a,...,a), a=d^{-0.5}.Value
Returns an object of class "mlbench.ringnorm"
with components
x
|
input values
|
classes
|
factor vector of length n with target classes
|
References
Breiman, L. (1996). Bias, variance, and arcing classifiers.
Tech. Rep. 460, Statistics Department, University of California,
Berkeley, CA, USA.Examples
p<-mlbench.ringnorm(1000, d=2)
plot(p)