An abstract class that inherits from the base class stream::DSC and provides the common functions needed to interface MOA clusterers.
Details
DSC_MOA is a subclass of stream::DSC for MOA-based clusterers.
DSC_MOA classes operate in a different way in that the centers of the
micro-clusters have to be extracted from the underlying Java object. This is
done by using rJava to perform method calls directly in the JRI and
converting the multi-dimensional Java array into a local R data type.
Note: The formula interface is currently not implemented for MOA-based clusterers. Use stream::DSF to select features instead.
References
Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer (2010). MOA: Massive Online Analysis, Journal of Machine Learning Research 11: 1601-1604
See also
Other DSC_MOA:
DSC_BICO_MOA(),
DSC_CluStream(),
DSC_ClusTree(),
DSC_DStream_MOA(),
DSC_DenStream(),
DSC_MCOD(),
DSC_StreamKM()