aux_gensamples: Generate model-based samples
In Rdimtools: Dimension Reduction and Estimation Methods

aux.gensamples

R Documentation

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 Dec. 28, 2022, 1:44 a.m.