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: 1.2-1
Depends: stream (≥ 1.1-2), rJava (≥ 0.9-0)
Imports: graphics, stats, methods
Published: 2019-03-20
Author: Michael Hahsler [aut, cre, cph], John Forrest [aut, cph], Matthew Bolanos [ctb], Matthias Carnein [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

Downloads:

Reference manual: streamMOA.pdf
Vignettes: Introduction to streamMOA
Package source: streamMOA_1.2-1.tar.gz
Windows binaries: r-devel: streamMOA_1.2-0.zip, r-release: streamMOA_1.2-0.zip, r-oldrel: streamMOA_1.2-0.zip
OS X binaries: r-release: streamMOA_1.2-0.tgz, r-oldrel: streamMOA_1.1-4.tgz
Old sources: streamMOA archive

Linking:

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