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Data Stream Generator for Dynamic Data Stream Benchmarks

Source: R/DSD_Benchmarks.R
DSD_Benchmark.Rd

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.

Value

Returns a DSD object.

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.

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()

Author

Michael Hahsler

Examples

stream <- DSD_Benchmark(i = 1)
get_points(stream, n = 5)
#>          X1        X2 .class
#> 1 0.1127555 0.1000563      2
#> 2 0.1179650 0.1111449      2
#> 3 0.1155370 0.9058588      1
#> 4 0.1090585 0.1057890      2
#> 5 0.1105024 0.8997594      1

if (FALSE) { # \dontrun{
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))
} # }