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

Packages that use RobustEstimator

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 RobustEstimator in com.irurueta.numerical.robust

Subclasses of RobustEstimator in com.irurueta.numerical.robust

Modifier and Type	Class	Description
class	LMedSRobustEstimator<T>	This class implements LMedS (Least Median of Squares) algorithm to robustly estimate a data model.
class	MSACRobustEstimator<T>	This class implements MSAC (Median SAmple Consensus) algorithm to robustly estimate a data model.
class	PROMedSRobustEstimator<T>	This class implements PROMedS (PROgressive least Median Sample) algorithm to robustly estimate a data model.
class	PROSACRobustEstimator<T>	This class implements PROSAC (PROgressive random SAmple Consensus) algorithm to robustly estimate a data model.
class	RANSACRobustEstimator<T>	This class implements RANSAC (RANdom SAmple Consensus) algorithm to robustly estimate a data model.

Methods in com.irurueta.numerical.robust with parameters of type RobustEstimator

Modifier and Type	Method	Description
void	RobustEstimatorListener.onEstimateEnd(RobustEstimator<T> estimator)	Called when estimation ends.
void	RobustEstimatorListener.onEstimateNextIteration(RobustEstimator<T> estimator, int iteration)	Called when estimator iterates to refine a possible solution.
void	RobustEstimatorListener.onEstimateProgressChange(RobustEstimator<T> estimator, float progress)	Called when estimation progress changes significantly.
void	RobustEstimatorListener.onEstimateStart(RobustEstimator<T> estimator)	Called when estimation starts.