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Each of the cl classes consists of a 2-dimensional Gaussian. The centers are equally spaced on a circle around the origin with radius r.
cl
r
mlbench.2dnormals(n, cl=2, r=sqrt(cl), sd=1)
Returns an object of class "bayes.2dnormals" with components
"bayes.2dnormals"
input values
factor vector of length n with target classes
n
number of patterns to create
number of classes
radius at which the centers of the classes are located
standard deviation of the Gaussians
# 2 classes p <- mlbench.2dnormals(500,2) plot(p) # 6 classes p <- mlbench.2dnormals(500,6) plot(p)
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