Package: streamMOA 1.3-1

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_1.3-1.tar.gz
streamMOA_1.3-1.zip(r-4.5)streamMOA_1.3-1.zip(r-4.4)streamMOA_1.3-1.zip(r-4.3)
streamMOA_1.3-1.tgz(r-4.4-any)streamMOA_1.3-1.tgz(r-4.3-any)
streamMOA_1.3-1.tar.gz(r-4.5-noble)streamMOA_1.3-1.tar.gz(r-4.4-noble)
streamMOA_1.3-1.tgz(r-4.4-emscripten)streamMOA_1.3-1.tgz(r-4.3-emscripten)
streamMOA.pdf |streamMOA.html
streamMOA/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

clusteringdataminingdatastream

5.95 score 12 stars 37 scripts 732 downloads 16 exports 26 dependencies

Last updated 3 months agofrom:28a2b91648. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-winOKOct 26 2024
R-4.5-linuxOKOct 26 2024
R-4.4-winOKOct 26 2024
R-4.4-macOKOct 26 2024
R-4.3-winOKOct 26 2024
R-4.3-macOKOct 26 2024

Exports:clean_outliersDSC_BICO_MOADSC_CluStreamDSC_ClusTreeDSC_DenStreamDSC_DStream_MOADSC_MCODDSC_MOADSC_StreamKMDSClassifier_MOADSD_MOADSD_RandomRBFGeneratorEventsDSOutlier_MCODDSRegressor_MOAget_outlier_positionsrecheck_outlier

Dependencies:BHclassclueclusterclusterGenerationdbscanDEoptimRdiptestflexmixfpcgenericskernlablatticemagrittrMASSmclustmlbenchmodeltoolsnnetprabclusproxyRcpprJavarobustbaserpartstream

Introduction to streamMOA

Rendered fromstreamMOA.Rnwusingutils::Sweaveon Oct 26 2024.

Last update: 2024-04-20
Started: 2015-12-06

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
DSClassifier_MOA - MOA-based Stream ClassifiersDSClassifier_MOA predict.DSClassifier_MOA update.DSClassifier_MOA
Base class for MOA-based Data Stream GeneratorsDSD_MOA
Random RBF Generator Events Data Stream GeneratorDSD_RandomRBFGeneratorEvents
DSRegressor_MOA - MOA-based Stream RegressorsDSRegressor_MOA predict.DSRegressor_MOA update.DSRegressor_MOA