aux_gensamples: Generate model-based samples

In Rdimtools: Dimension Reduction and Estimation Methods

Generate model-based samples

Description

It generates samples from predefined shapes, set by dname parameter. Also incorporated a functionality to add white noise with degree noise.

Usage

aux.gensamples(
  n = 496,
  noise = 0.01,
  dname = c("swiss", "crown", "helix", "saddle", "ribbon", "bswiss", "cswiss",
    "twinpeaks", "sinusoid", "mobius", "R12in72"),
  ...
)

Arguments

n	the number of points to be generated.
noise	level of additive white noise.
dname	name of a predefined shape. Should be one of "swiss" swiss roll "crown" crown "helix" helix "saddle" manifold near saddle point "ribbon" ribbon "bswiss" broken swiss "cswiss" cut swiss "twinpeaks" two peaks "sinusoid" sinusoid on the circle "mobius" mobius strip embedded in \mathbf{R}^3 "R12in72" 12-dimensional manifold in \mathbf{R}^{12}
...	extra parameters for the followings #' parameter dname description ntwist "mobius" number of twists

Value

an (n\times p) matrix of generated data by row. For all methods other than "R12in72", it returns a matrix with p=3.

Author(s)

Kisung You

References

\insertRef

hein_intrinsic_2005Rdimtools

\insertRef

vandermaaten_learning_2009Rdimtools

Examples

## generating toy example datasets
set.seed(100)
dat.swiss = aux.gensamples(50, dname="swiss")
dat.crown = aux.gensamples(50, dname="crown")
dat.helix = aux.gensamples(50, dname="helix")

Rdimtools documentation built on Nov. 5, 2025, 5:28 p.m.