mlbench: mlbench.2dnormals – R documentation

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mlbench.2dnormals

2-dimensional Gaussian Problem

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.

mlbench.2dnormals(n, cl=2, r=sqrt(cl), sd=1)

`n`	number of patterns to create
`cl`	number of classes
`r`	radius at which the centers of the classes are located
`sd`	standard deviation of the Gaussians

Returns an object of class "bayes.2dnormals" with components

`x`	input values
`classes`	factor vector of length `n` with target classes

# 2 classes
p <- mlbench.2dnormals(500,2)
plot(p)
# 6 classes
p <- mlbench.2dnormals(500,6)
plot(p)

Machine Learning Benchmark Problems

v2.1-3

GPL-2

Authors

Friedrich Leisch and Evgenia Dimitriadou.

Initial release

2021-01-21