DSC_subclu: SubClu algorithm for use with DSC_ThreeStage
In subspaceMOA: Interface to 'subspaceMOA'
Description
An implementation of the SubClu algorithm
that can be used with DSC_ThreeStage.
For more details on this
algorithm, consult SubClu
Usage
1
DSC_subclu(epsilon = 0.05, minSupport = 50, minOutputDim = 3)
Arguments
epsilon
this parameter determines the size of the epsilon environment for the DBSCAN that is run as a part of this algorithm.
minSupport
minimum number of points in the epsilon environment.
minOutputDim
minimum dimensionality that a cluster must have to be output.
dsc <- DSC_ThreeStage(macro=DSC_subclu(),micro=DSC_subspaceCluStream())
dsd <- DSD_RandomRBFSubspaceGeneratorEvents()
update(dsc,dsd,1000)
subspaceMOA documentation built on May 29, 2017, 10:50 p.m.
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Description
An implementation of the SubClu algorithm that can be used with DSC_ThreeStage. For more details on this algorithm, consult SubClu
Usage
1 | DSC_subclu(epsilon = 0.05, minSupport = 50, minOutputDim = 3)
|
Arguments
epsilon |
this parameter determines the size of the epsilon environment for the DBSCAN that is run as a part of this algorithm. |
minSupport |
minimum number of points in the epsilon environment. |
minOutputDim |
minimum dimensionality that a cluster must have to be output. dsc <- DSC_ThreeStage(macro=DSC_subclu(),micro=DSC_subspaceCluStream()) dsd <- DSD_RandomRBFSubspaceGeneratorEvents() update(dsc,dsd,1000) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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