The subspaceMOA package is an extension of the stream package, focusing on stream clustering for high-dimensional data streams.
To this end, two new data streams are provided: DSD_RandomRBFSubspaceGeneratorEvents, a synthetic data stream for high dimensional data with clusters that only exist in certain subspaces of the data and DSD_SubspaceARFFStream, a utility that reads ARFF files with subspace information.
New subspace stream clustering algorithms for high-dimensional data can be constructed using DSC_ThreeStage in combination with one of DSC_subspaceDenStream and DSC_subspaceCluStream and one of DSC_clique, DSC_p3c, DSC_proclus, DSC_subclu.
Additionally, implementations of the existing subspace stream clustering algorithms DSC_PreDeConStream and DSC_HDDStream are present.
Lastly, functions for interactive visualization with the shiny package are also included: A specific clustering can be plotted using plot_stream_interactive and the clustering can also be animated with the function animate_stream_interactive.
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