DSC_MOA: DSC_MOA Class

In mhahsler/streamMOA: Interface for MOA Stream Clustering Algorithms

DSC_MOA Class

Description

An abstract class that inherits from the base class stream::DSC and provides the common functions needed to interface MOA clusterers.

Usage

DSC_MOA(...)

Arguments

...	further arguments.

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.

Author(s)

Michael Hahsler and John Forrest

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()

mhahsler/streamMOA documentation built on Aug. 30, 2024, 11:25 p.m.