stream (version 1.3-2)

DSD_Cubes: 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 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

Examples

# NOT RUN {
# create data stream with three clusters in 3D
stream <- DSD_Cubes(k=3, d=3)

# plotting the data
plot(stream)
# }