mlbench.threenorm | R Documentation |
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,\ldots,a)
and from a unit multivariate normal with mean
(-a,-a,\ldots,-a)
. Class 2 is drawn from a multivariate normal
with mean at (a,-a,a, \ldots,-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)
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