DSC_p3c: P3C algorithm for use with DSC_ThreeStage
In subspaceMOA: Interface to 'subspaceMOA'
Description
An implementation of the P3C algorithm
that can be used with DSC_ThreeStage.
For more details on this
algorithm, consult P3C
Usage
1
DSC_p3c(poissonThreshold = 10, chiSquareAlpha = 0.001)
Arguments
poissonThreshold
threshold value to determine wheter two bins will be
merged. Note that the value provided will be used as a negative power of 10.
E.g. if a value of 20 is provided here, then the algorithm will use a
threshold of 1.0*10^-20.
dsc <- DSC_ThreeStage(macro=DSC_p3c(),micro=DSC_subspaceCluStream())
dsd <- DSD_RandomRBFSubspaceGeneratorEvents()
update(dsc,dsd,1000)
chiSquareAlpha
threshold value for the chi-square distribution that is
used to determine whether an area is dense.
subspaceMOA documentation built on May 29, 2017, 10:50 p.m.
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Description
An implementation of the P3C algorithm that can be used with DSC_ThreeStage. For more details on this algorithm, consult P3C
Usage
1 | DSC_p3c(poissonThreshold = 10, chiSquareAlpha = 0.001)
|
Arguments
poissonThreshold |
threshold value to determine wheter two bins will be merged. Note that the value provided will be used as a negative power of 10. E.g. if a value of 20 is provided here, then the algorithm will use a threshold of 1.0*10^-20. dsc <- DSC_ThreeStage(macro=DSC_p3c(),micro=DSC_subspaceCluStream()) dsd <- DSD_RandomRBFSubspaceGeneratorEvents() update(dsc,dsd,1000) |
chiSquareAlpha |
threshold value for the chi-square distribution that is used to determine whether an area is dense. |
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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