Package: streamMOA 1.4.0

Michael Hahsler

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).

Authors:Michael Hahsler [aut, cre, cph], John Forrest [aut, cph], Matthew Bolanos [ctb], Matthias Carnein [ctb], Dalibor Krleža [ctb]

streamMOA_1.4.0.tar.gz
streamMOA_1.4.0.zip(r-4.7-any)streamMOA_1.4.0.zip(r-4.6-any)
streamMOA_1.4.0.tar.gz(r-4.7-any)streamMOA_1.4.0.tar.gz(r-4.6-any)
streamMOA_1.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
streamMOA/json (API)

# Install 'streamMOA' in R:
install.packages('streamMOA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mhahsler/streammoa/issues

Pkgdown/docs site:https://michael.hahsler.net

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

Conda:

openjdk

3.43 score 1 stars 27 scripts 409 downloads 14 exports 26 dependencies

Last updated from:affc482a05. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK148
source / vignettesOK223
linux-releaseOK164
windows-develOK111
windows-releaseOK117
wasm-releaseOK144

Exports:clean_outliersDSC_BICO_MOADSC_CluStreamDSC_ClusTreeDSC_DenStreamDSC_DStream_MOADSC_MCODDSC_MOADSC_StreamKMDSD_MOADSD_RandomRBFGeneratorEventsDSOutlier_MCODget_outlier_positionsrecheck_outlier

Dependencies:BHclassclueclusterclusterGenerationdbscanDEoptimRdiptestflexmixfpcgenericskernlablatticemagrittrMASSmclustmlbenchmodeltoolsnnetprabclusproxyRcpprJavarobustbaserpartstream

Getting started with streamMOA
Installation | Create a data stream | Cluster the stream | Inspect the result
Rendered fromstreamMOA.Rmdusingknitr::rmarkdown

Last update: 2026-10-13
Started: 2026-10-13

Introduction to streamMOA
Introduction | Experimental Comparison on Static Data | Outlier detection
Rendered fromstreamMOA_vignette.Rnwusingutils::Sweave

Last update: 2026-10-13
Started: 2026-10-13

Readme and manuals

Help Manual

Help pageTopics
BICO: Fast computation of k-means coresets in a data streamDSC_BICO_MOA
CluStream Data Stream ClustererCluStream clustream DSC_CluStream DSC_CluStream_MOA
ClusTree Data Stream ClustererClusTree clustree DSC_ClusTree
DenStream Data Stream ClustererDenStream denstream DSC_DenStream DSC_DenStream_MOA
D-Stream Data Stream Clustering AlgorithmDSC_DStream_MOA
Micro-cluster Continuous Outlier Detector (MCOD)clean_outliers DSC_MCOD DSC_MCOD_MOA DSOutlier_MCOD DSOutlier_MCOD_MOA get_outlier_positions MCOD recheck_outlier
DSC_MOA ClassDSC_MOA
streamKM++DSC_StreamKM StreamKM streamkm
Base class for MOA-based data stream generatorsDSD_MOA
Random RBF Generator Events Data Stream GeneratorDSD_RandomRBFGeneratorEvents