A framework for data stream modeling and associated data mining tasks such as clustering and classification. - R Package
C++ R C
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
R
inst
man
src
tests
vignettes
.Rbuildignore
.gitignore
.travis.yml
DESCRIPTION
NAMESPACE
NEWS.md
README.md
appveyor.yml
stream.Rproj

README.md

stream - Infrastructure for Data Stream Mining - R package

CRAN version CRAN RStudio mirror downloads Travis-CI Build Status AppVeyor Build Status

The package provides support for modeling and simulating data streams as well as an extensible framework for implementing, interfacing and experimenting with algorithms for various data stream mining tasks. The main advantage of stream is that it seamlessly integrates with the large existing infrastructure provided by R. The package currently focuses on data stream clustering and provides implementations of BICO, BIRCH, D-Stream and DBSTREAM.

Additional packages in the stream family are:

  • streamMOA: Interface to clustering algorithms implemented in the MOA framework. Includes implementations of DenStream, ClusTree and CluStream.
  • subspaceMOA: Interface to [Subspace MOA] and its implementations of HDDStream and PreDeConStream.

The development of the stream package was supported in part by NSF IIS-0948893 and NIH R21HG005912.

Installation

Stable CRAN version: install from within R with

install.packages("stream")

Current development version: Download package from AppVeyor or install from GitHub (needs devtools).

install_git("mhahsler/stream")

Usage

Load the package and create micro-clusters via sampling.

library("stream")
stream <- DSD_Gaussians(k=3, noise=0)

sample <- DSC_Sample(k=20)
update(sample, stream, 500)
sample
Reservoir sampling
Class: DSC_Sample, DSC_Micro, DSC_R, DSC 
Number of micro-clusters: 20 

Recluster micro-clusters using k-means and plot results

kmeans <- DSC_Kmeans(k=3)
recluster(kmeans, sample)
plot(kmeans, stream, type="both")

References