Threenorm Benchmark Problem
The inputs of the threenorm problem are points from two Gaussian distributions with unit covariance matrix. Class 1 is drawn with equal probability from a unit multivariate normal with mean (a,a,…,a) and from a unit multivariate normal with mean (-a,-a,…,-a). Class 2 is drawn from a multivariate normal with mean at (a,-a,a, …,-a), a=2/d^{0.5}.
mlbench.threenorm(n, d=20)
n |
number of patterns to create |
d |
dimension of the threenorm problem |
Returns an object of class "mlbench.threenorm" 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.threenorm(1000, d=2) plot(p)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.