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streamMOA: Interface for MOA Stream Clustering Algorithms

Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework (Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer (2010). MOA: Massive Online Analysis, Journal of Machine Learning Research 11: 1601-1604).

Version: 1.3-1
Depends: stream (≥ 2.0-0), rJava (≥ 1.0-1)
Imports: graphics, stats, methods, proxy
Suggests: RMOA (≥ 1.1.0)
Published: 2024-04-20
DOI: 10.32614/CRAN.package.streamMOA
Author: Michael Hahsler ORCID iD [aut, cre, cph], John Forrest [aut, cph], Matthew Bolanos [ctb], Matthias Carnein [ctb], Dalibor Krleža [ctb]
Maintainer: Michael Hahsler <mhahsler at lyle.smu.edu>
BugReports: https://github.com/mhahsler/streamMOA
License: GPL-3
Copyright: MOA code in inst/java/moa.jar is Copyright (C) The University of Waikato and distributed under the Apache License, version 2.0. All other code is Copyright (C) Matthew Bolanos, John Forrest and Michael Hahsler
NeedsCompilation: no
SystemRequirements: Java (>= 8)
Materials: README NEWS
CRAN checks: streamMOA results

Documentation:

Reference manual: streamMOA.pdf
Vignettes: Introduction to streamMOA

Downloads:

Package source: streamMOA_1.3-1.tar.gz
Windows binaries: r-devel: streamMOA_1.3-1.zip, r-release: streamMOA_1.3-1.zip, r-oldrel: streamMOA_1.3-1.zip
macOS binaries: r-release (arm64): streamMOA_1.3-1.tgz, r-oldrel (arm64): streamMOA_1.3-1.tgz, r-release (x86_64): streamMOA_1.3-1.tgz, r-oldrel (x86_64): streamMOA_1.3-1.tgz
Old sources: streamMOA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=streamMOA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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