Uses of Class
com.irurueta.numerical.robust.SubsetSelector
Packages that use SubsetSelector
Package
Description
This package contains robust estimators that can be used to discard outliers
for cases where a model of the data is known (i.e.
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Uses of SubsetSelector in com.irurueta.numerical.robust
Subclasses of SubsetSelector in com.irurueta.numerical.robustModifier and TypeClassDescriptionclass
This class computes indices of subsets of samples using a uniform randomizer to pick random samples as fast as possible.Fields in com.irurueta.numerical.robust declared as SubsetSelectorModifier and TypeFieldDescriptionprivate SubsetSelector
LMedSRobustEstimator.subsetSelector
Instance in charge of picking random subsets of samples.private SubsetSelector
MSACRobustEstimator.subsetSelector
Instance in charge of picking random subsets of samples.private SubsetSelector
PROMedSRobustEstimator.subsetSelector
Instance in charge of picking random subsets of samples.private SubsetSelector
PROSACRobustEstimator.subsetSelector
Instance in charge of picking random subsets of samples.private SubsetSelector
RANSACRobustEstimator.subsetSelector
Instance in charge of picking random subsets of samples.Methods in com.irurueta.numerical.robust that return SubsetSelectorModifier and TypeMethodDescriptionstatic SubsetSelector
SubsetSelector.create
(int numSamples) Creates a new subset selector instance using provided total number of samples and default subset selector type.