Rdimtools (version 1.0.6)

aux.gensamples: 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

Value

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

References

hein_intrinsic_2005Rdimtools

vandermaaten_learning_2009Rdimtools

Examples

# NOT RUN {
## 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")
# }
# NOT RUN {
# }