Uses of Package
com.irurueta.numerical.robust
Packages that use com.irurueta.numerical.robust
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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Classes in com.irurueta.numerical.robust used by com.irurueta.numerical.polynomials.estimatorsClassDescriptionRaised if estimation on a RobustEstimator fails.Enumerator containing different robust estimation algorithms.
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Classes in com.irurueta.numerical.robust used by com.irurueta.numerical.robustClassDescriptionBase class defining inlier data for a robust estimator.Raised if provided range of samples to pick subsets from is invalid.Raised if an invalid subset size is requested on a subset selectorContains data related to inliers estimated in one iteration.Listener to get data samples and residuals for LMedS method.Contains data related to inliers estimated in one iteration.Listener to get data samples and residuals for MSAC methodRaised if there aren't enough samples to make a computation.Contains data related to inliers estimated in one iteration.Listener to get data samples and residuals for PROMedS method.Contains data related to estimated inliers.Listener to get data samples and residuals for PROSAC methodContains data related to estimated inliers.Listener to get data samples and residuals for RANSAC methodRobust estimator to estimate some object in a robust mannerRaised if estimation on a RobustEstimator fails.Listener to be notified of events on a robust estimator such as when estimation starts, ends or when progress changes.Enumerator containing different robust estimation algorithms.Base class to pick subsets of samples.Raised if subset selection of samples fails.Enumerator containing supported types of subset selectors to pick random samples for robust estimators.Class containing the selection that was made on a weighted algorithm.