| DSD_Benchmark {stream} | R Documentation |
Data Stream Generator for Dynamic Data Stream Benchmarks
Description
A data stream generator that generates several dynamic streams indented to be benchmarks to compare data stream clustering algorithms. The benchmarks can be used to test if a clustering algorithm can follow moving clusters, and merging and separating clusters.
Usage
DSD_Benchmark(i = 1)
Arguments
i |
integer; the number of the benchmark. |
Details
Currently available benchmarks are:
-
1: two tight clusters moving across the data space with noise and intersect in the middle. -
2: two clusters are located in two corners of the data space. A third cluster moves between the two clusters forth and back.
The benchmarks are created using DSD_MG.
Value
Returns a DSD object.
Author(s)
Michael Hahsler
See Also
Other DSD:
DSD(),
DSD_BarsAndGaussians(),
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
stream <- DSD_Benchmark(i = 1)
get_points(stream, n = 5)
## Not run:
stream <- DSD_Benchmark(i = 1)
animate_data(stream, n = 10000, horizon = 100, xlim = c(0, 1), ylim = c(0, 1))
stream <- DSD_Benchmark(i = 2)
animate_data(stream, n = 10000, horizon = 100, xlim = c(0, 1), ylim = c(0, 1))
## End(Not run)