DSC_MOA: DSC_MOA Class

Description Details Author(s) References See Also

Description

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

Details

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.

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

DSC


streamMOA documentation built on May 16, 2019, 1:07 a.m.