DSC_MOA: DSC_MOA Class

Description Details References See Also

View source: R/DSC_MOA.R

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


streamMOA documentation built on May 29, 2017, 12:34 p.m.

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