DSC_MOA Class

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.

References

MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl. Journal of Machine Learning Research (JMLR).

See Also

DSC