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: 1.3-0
Depends: stream (≥ 2.0-0), rJava (≥ 1.0-1)
Imports: graphics, stats, methods
Suggests: RMOA (≥ 1.1.0)
Published: 2022-09-03
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_1.3-0.tar.gz
Windows binaries: r-devel: streamMOA_1.3-0.zip, r-release: streamMOA_1.3-0.zip, r-oldrel: streamMOA_1.3-0.zip
macOS binaries: r-release (arm64): streamMOA_1.3-0.tgz, r-oldrel (arm64): streamMOA_1.3-0.tgz, r-release (x86_64): streamMOA_1.3-0.tgz
Old sources: streamMOA archive

Linking:

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