DSD_Cubes
From stream v1.23
by Michael Hahsler
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
timesd
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
Examples
# create data stream with three clusters in 3D
stream < DSD_Cubes(k=3, d=3)
# plotting the data
plot(stream)
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