DSD: Data Stream Data Generator Base Classes

In stream: Infrastructure for Data Stream Mining

Data Stream Data Generator Base Classes

Description

Abstract base classes for DSD (Data Stream Data Generator).

Usage

DSD(...)

DSD_R(...)

Arguments

...	further arguments.

Details

The DSD class cannot be instantiated, but it serves as a abstract base class from which all DSD objects inherit. Implementations can be found in the See Also section below.

DSD provides common functionality like:

• get_points()

• print()

• plot()

• reset_stream() (if available)

• close_stream() (if needed)

DSD_R inherits form DSD and is the abstract parent class for DSD implemented in R. To create a new R-based implementation there are only two function that needs to be implemented for a new DSD subclass called Foo would be:

1. A creator function DSD_Foo(...) and

2. a method get_points.DSD_Foo(x, n = 1L) for that class.

For details see vignette()

Author(s)

Michael Hahsler

See Also

Other DSD: DSD_BarsAndGaussians(), DSD_Benchmark(), DSD_Cubes(), 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

DSD()

# create data stream with three clusters in 3-dimensional space
stream <- DSD_Gaussians(k = 3, d = 3)

# get points from stream
get_points(stream, n = 5)

# plotting the data (scatter plot matrix, first and third dimension, and first
#  two principal components)
plot(stream)
plot(stream, dim = c(1, 3))
plot(stream, method = "pca")

stream documentation built on April 4, 2025, 1:02 a.m.