DSD_UniformNoise: Uniform Noise Data Stream Generator

In mhahsler/stream: Infrastructure for Data Stream Mining

Uniform Noise Data Stream Generator

Description

This generator produces uniform noise in a d-dimensional unit (hyper) cube.

Usage

DSD_UniformNoise(d = 2, range = NULL)

Arguments

d	Determines the number of dimensions.
range	A matrix with two columns and d rows giving the minimum and maximum for each dimension. Defaults to the range of [0,1].

Value

Returns a DSD_UniformNoise object.(subclass of DSD_R, DSD).

Author(s)

Michael Hahsler

See Also

Other DSD: DSD(), DSD_BarsAndGaussians(), DSD_Benchmark(), DSD_Cubes(), DSD_Gaussians(), DSD_MG(), DSD_Memory(), DSD_Mixture(), DSD_NULL(), DSD_ReadDB(), DSD_ReadStream(), DSD_Target(), DSD_mlbenchData(), DSD_mlbenchGenerator(), DSF(), animate_data(), close_stream(), get_points(), plot.DSD(), reset_stream()

Examples

# create data stream with three clusters in 2D
stream <- DSD_UniformNoise(d = 2)
get_points(stream, n = 5)
plot(stream, n = 100)

# specify a different range for each dimension
stream <- DSD_UniformNoise(d = 3,
  range = rbind(c(0, 1), c(0, 10), c(0, 5)))
plot(stream, n = 100)

mhahsler/stream documentation built on June 15, 2025, 9:45 a.m.