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 generating 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

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()

Author

Michael Hahsler

Examples

# create data stream with three clusters in 3D
stream <- DSD_Cubes(k = 3, d = 3, noise = 0.05)

get_points(stream, n = 5)
#>          X1        X2      <NA> .class
#> 1 0.3200669 0.7458459 0.3692036      2
#> 2 0.6977560 0.6218788 0.4782292      3
#> 3 0.5286707 0.5140967 0.4073528      3
#> 4 0.4748724 0.4424403 0.5262905      1
#> 5 0.9297055 0.2136115 0.3842991     NA

plot(stream)