DSC_Macro: Abstract Class for Macro Clusterers (Offline Component)

In stream: Infrastructure for Data Stream Mining

Abstract Class for Macro Clusterers (Offline Component)

Description

Abstract class for all DSC Macro Clusterers which recluster micro-clusters offline into final clusters called macro-clusters.

Usage

DSC_Macro(...)

microToMacro(x, micro = NULL)

Arguments

...	further arguments.
x	a DSC_Macro object that also contains information about micro-clusters.
micro	A vector with micro-cluster ids. If NULL then the assignments for all micro-clusters in x are returned.

Details

Data stream clustering algorithms typically consists of an online component that creates micro-clusters (implemented as DSC_Micro) and and offline components which is used to recluster micro-clusters into final clusters called macro-clusters. The function recluster() is used extract micro-clusters from a DSC_Micro and create macro-clusters with a DSC_Macro.

Available clustering methods can be found in the See Also section below.

microToMacro() returns the assignment of Micro-cluster IDs to Macro-cluster IDs.

For convenience, a DSC_Micro and DSC_Macro can be combined using DSC_TwoStage.

DSC_Macro cannot be instantiated.

Value

A vector of the same length as micro with the macro-cluster ids.

Author(s)

Michael Hahsler

See Also

Other DSC_Macro: DSC_DBSCAN(), DSC_EA(), DSC_Hierarchical(), DSC_Kmeans(), DSC_Reachability(), DSC_SlidingWindow()

Other DSC: DSC_Micro(), DSC_R(), DSC_SlidingWindow(), DSC_Static(), DSC_TwoStage(), DSC(), animate_cluster(), evaluate.DSC, get_assignment(), plot.DSC(), predict(), prune_clusters(), read_saveDSC, recluster()

stream documentation built on March 7, 2023, 6:09 p.m.