mlbench.simplex: Corners of d-dimensional Simplex

In mlbench: Machine Learning Benchmark Problems

Corners of d-dimensional Simplex

Description

The created data are d-dimensional spherical Gaussians with standard deviation sd and means at the corners of a d-dimensional simplex. The number of classes is d+1.

Usage

mlbench.simplex(n = 800, d = 3, sides = 1, sd = 0.1, center=TRUE)
simplex(d, sides, center=TRUE)

Arguments

n	number of patterns to create
d	dimensionality of simplex, default is 3
sides	lengths of the sides of the simplex, default is to create a unit simplex
sd	standard deviation
center	If TRUE, the origin is the center of gravity of the simplex. If FALSE, the origin is a corner of the simplex and all coordinates of the simplex are positive.

Value

Returns an object of class "mlbench.simplex" with components

x	input values
classes	factor of length n with target classes

Author(s)

Manuel Eugster and Sebastian Kaiser

Examples

p <- mlbench.simplex()
plot(p)

library("lattice")
cloud(x.3~x.1+x.2, groups=classes, data=as.data.frame(p))

mlbench documentation built on May 29, 2024, 4:49 a.m.