Uses of Class
adams.data.multispectrumoperation.outlierremoval.AbstractOutlierRemoval

Packages that use AbstractOutlierRemoval

Package	Description
adams.data.multispectrumoperation
adams.data.multispectrumoperation.outlierremoval

Uses of AbstractOutlierRemoval in adams.data.multispectrumoperation

Fields in adams.data.multispectrumoperation declared as AbstractOutlierRemoval

Modifier and Type	Field	Description
protected AbstractOutlierRemoval	OutlierRemoval.m_OutlierRemoval	the outlier removal scheme to use.

Methods in adams.data.multispectrumoperation that return AbstractOutlierRemoval

Modifier and Type	Method	Description
AbstractOutlierRemoval	OutlierRemoval.getOutlierRemoval()	Returns the outlier removal scheme to apply.

Methods in adams.data.multispectrumoperation with parameters of type AbstractOutlierRemoval

Modifier and Type	Method	Description
void	OutlierRemoval.setOutlierRemoval(AbstractOutlierRemoval value)	Sets the outlier removal scheme to apply.

Uses of AbstractOutlierRemoval in adams.data.multispectrumoperation.outlierremoval

Subclasses of AbstractOutlierRemoval in adams.data.multispectrumoperation.outlierremoval

Modifier and Type	Class	Description
class	CorrelationBasedThreshold	Applies the pre-filter and then computes the correlation coefficients between the spectra.
class	CosineSimilarityBasedThreshold	Applies the pre-filter and then computes the cosine similarity between the spectra.
class	MeanSpectrumCosineSimilarityBasedThreshold	Calculates the mean spectrum from the incoming spectra and then calculates the cosine similarity between the mean spectrum and the spectra.
class	PassThrough	Dummy, just passes through the data.