An abstract class that inherits from the base class DSC and provides the common functions needed to interface MOA 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.
Michael Hahsler and John Forrest
Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer (2010). MOA: Massive Online Analysis, Journal of Machine Learning Research 11: 1601-1604
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.