DSD_UniformNoise

0th

Percentile

Uniform Noise Data Stream Generator

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).

See Also

DSD

Aliases
  • DSD_UniformNoise
Examples
# create data stream with three clusters in 2D
stream <- DSD_UniformNoise(d=2)
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)
Documentation reproduced from package stream, version 1.2-3, License: GPL-3

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