Ringnorm Benchmark Problem
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}.
mlbench.ringnorm(n, d=20)
n |
number of patterns to create |
d |
dimension of the ringnorm problem |
Returns an object of class "mlbench.ringnorm" with components
x |
input values |
classes |
factor vector of length |
Breiman, L. (1996). Bias, variance, and arcing classifiers. Tech. Rep. 460, Statistics Department, University of California, Berkeley, CA, USA.
p<-mlbench.ringnorm(1000, d=2) plot(p)
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