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:	1.2-3
Depends:	stream (≥ 1.4-0), rJava (≥ 0.9-0)
Imports:	graphics, stats, methods
Published:	2020-12-03
Author:	Michael Hahsler [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_1.2-3.tar.gz
Windows binaries:	r-devel: streamMOA_1.2-3.zip, r-release: streamMOA_1.2-3.zip, r-oldrel: streamMOA_1.2-3.zip
macOS binaries:	r-release (arm64): streamMOA_1.2-3.tgz, r-oldrel (arm64): streamMOA_1.2-3.tgz, r-release (x86_64): streamMOA_1.2-3.tgz, r-oldrel (x86_64): streamMOA_1.2-3.tgz
Old sources:	streamMOA archive

Linking:

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