Uses of Class
com.irurueta.numerical.robust.SubsetSelector

Packages that use SubsetSelector

Package	Description
com.irurueta.numerical.robust	This package contains robust estimators that can be used to discard outliers for cases where a model of the data is known (i.e. estimating lines, planes or many other geometric objects, etc.)

Uses of SubsetSelector in com.irurueta.numerical.robust

Subclasses of SubsetSelector in com.irurueta.numerical.robust

Modifier and Type	Class	Description
class	FastRandomSubsetSelector	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 SubsetSelector

Modifier and Type	Field	Description
private 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 SubsetSelector

Modifier and Type	Method	Description
static SubsetSelector	SubsetSelector.create(int numSamples)	Creates a new subset selector instance using provided total number of samples and default subset selector type.