mlbench.2dnormals: 2-dimensional Gaussian Problem

In mlbench: Machine Learning Benchmark Problems

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)

mlbench documentation built on May 31, 2023, 6:18 p.m.