| DSD_Cubes {stream} | R Documentation |
Static Cubes Data Stream Generator
Description
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 |
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).
Author(s)
Michael Hahsler
See Also
Other DSD:
DSD(),
DSD_BarsAndGaussians(),
DSD_Benchmark(),
DSD_Gaussians(),
DSD_MG(),
DSD_Memory(),
DSD_Mixture(),
DSD_NULL(),
DSD_ReadDB(),
DSD_ReadStream(),
DSD_Target(),
DSD_UniformNoise(),
DSD_mlbenchData(),
DSD_mlbenchGenerator(),
DSF(),
animate_data(),
close_stream(),
get_points(),
plot.DSD(),
reset_stream()
Examples
# create data stream with three clusters in 3D
stream <- DSD_Cubes(k = 3, d = 3, noise = 0.05)
get_points(stream, n = 5)
plot(stream)