mlbench.twonorm

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Twonorm Benchmark Problem

The inputs of the twonorm problem are points from two Gaussian distributions with unit covariance matrix. Class 1 is multivariate normal with mean $(a,a,\ldots,a)$ and class 2 with mean $(-a,-a,\ldots,-a)$, $a=2/d^{-0.5}$.

Keywords
datagen
Usage
mlbench.twonorm(n, d=20)
Arguments
n
number of patterns to create
d
dimension of the twonorm problem
Value

  • Returns an object of class "mlbench.twonorm" 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.

Aliases
  • mlbench.twonorm
Examples
p<-mlbench.twonorm(1000, d=2)
plot(p)
Documentation reproduced from package mlbench, version 0.5-1, License: Free for non-commercial purposes. See the file README and the help pages of the data sets for details.

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