mlbench (version 0.5-7)

mlbench.ringnorm: Ringnorm Benchmark 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 $(a,a,\ldots,a)$, $a=d^{-0.5}$.

Usage

mlbench.ringnorm(n, d=20)

Arguments

n
number of patterns to create
d
dimension of the ringnorm problem

Value

  • Returns an object of class "mlbench.ringnorm" with components
  • xinput values
  • classesfactor 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

Run this code
p<-mlbench.ringnorm(1000, d=2)
plot(p)

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