mlbench.2dnormals {mlbench}R Documentation

2-dimensional Gaussian Problem

Description

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.

Usage

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

Arguments

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

Value

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

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

Examples

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

[Package mlbench version 1.0-0 Index]