DSD_Cubes

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Static Cubes Data Stream Generator

A data stream generator that produces a data stream with static (hyper) cubes filled uniformly with data points.

Usage
DSD_Cubes(k=2, d=2, center, size, p, noise = 0, noise_range)
Arguments
k
Determines the number of clusters.
d
Determines the number of dimensions.
center
A matrix of means for each dimension of each cluster.
size
A k times d matrix with the cube dimensions.
p
A vector of probabilities that determines the likelihood of generated a data point from a particular cluster.
noise
Noise probability between 0 and 1. Noise is uniformly distributed within noise range (see below).
noise_range
A matrix with d rows and 2 columns. The first column contains the minimum values and the second column contains the maximum values for noise.
Value

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

See Also

DSD

Aliases
  • DSD_Cubes
Examples
# create data stream with three clusters in 3D
stream <- DSD_Cubes(k=3, d=3)

# plotting the data
plot(stream)
Documentation reproduced from package stream, version 1.2-3, License: GPL-3

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