stream (version 2.0-1)

DSD_UniformNoise: 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)

Value

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

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 \([0,1]\).

Author

Michael Hahsler

See Also

Other 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(), DSD(), 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)