Uses of Interface
adams.core.TechnicalInformationHandler

Packages that use TechnicalInformationHandler

Package	Description
adams.core
adams.data.autocorrelation
adams.data.binning.algorithm
adams.data.boofcv.features
adams.data.boofcv.transformer
adams.data.conversion
adams.data.filter
adams.data.image.transformer.whitebalance
adams.data.instancesanalysis.pls
adams.data.lire.features
adams.data.smoothing
adams.data.spc
adams.data.spreadsheet.colstatistic
adams.data.spreadsheet.rowstatistic
adams.data.statistics
adams.flow.control.plotprocessor
adams.flow.source
adams.flow.standalone
adams.flow.transformer
adams.flow.transformer.plotgenerator
adams.flow.transformer.timeseriessplit
adams.flow.transformer.wekaclusterer
adams.gui.visualization.core
adams.gui.visualization.report
adams.gui.visualization.sequence
adams.gui.visualization.stats.paintlet
adams.gui.visualization.stats.scatterplot
adams.ml.preprocessing.unsupervised
weka.classifiers.trees

Uses of TechnicalInformationHandler in adams.core

Classes in adams.core that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	DateFormat	A threadsafe class for date formatting/parsing.

Uses of TechnicalInformationHandler in adams.data.autocorrelation

Classes in adams.data.autocorrelation that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	BruteForce	Uses brute force approach to autocorrelation. For more information see: WikiPedia.
class	FFT	Uses FFT approach to autocorrelation. For more information see: WikiPedia.

Uses of TechnicalInformationHandler in adams.data.binning.algorithm

Classes in adams.data.binning.algorithm that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	DensityBinning	Performs density-based binning.
class	FreedmanDiaconisChoiceBinning	The Freedman-Diaconis' choice is based on the interquartile range.
class	FrequencyBinning	Performs frequency binning.
class	RiceRuleBinning	The Rice Rule is presented as a simple alternative to Sturges's rule.
class	ScottsNormalReferenceRuleBinning	Scott's normal reference rule is optimal for random samples of normally distributed data, in the sense that it minimizes the integrated mean squared error of the density estimate.
class	SquareRootChoiceBinning	Takes the square root of the number of data points in the sample used by Excel histograms and many others) and rounds to the next integer.
class	SturgesFormulaBinning	Sturges' formula is derived from a binomial distribution and implicitly assumes an approximately normal distribution.

Uses of TechnicalInformationHandler in adams.data.boofcv.features

Classes in adams.data.boofcv.features that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	Otsu	Computes the variance based threshold using Otsu's method from an input image (gray scale; boofcv.struct.image.GrayU8). For more information see: WikiPedia.

Uses of TechnicalInformationHandler in adams.data.boofcv.transformer

Classes in adams.data.boofcv.transformer that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	CannyEdgeDetection	Performs edge detection using the Canny Edge detection algorithm. For more information on the algorithm, see: WikiPedia.

Uses of TechnicalInformationHandler in adams.data.conversion

Classes in adams.data.conversion that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	TimeToString	Turns a number representing milli-seconds since 1970 (Java date) into a String. For more information on formatting the date, see: Javadoc. java.text.SimpleDateFormat.

Uses of TechnicalInformationHandler in adams.data.filter

Classes in adams.data.filter that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	AbstractFastWavelet<T extends DataContainer>	Abstract ancestor for Wavelet filters based on the JSci library.
class	AbstractFFT<T extends DataContainer>	Abstract ancestor for Fast Fourier Transform filters based on the JSci library.
class	AbstractLOWESS<T extends DataContainer>	Abstract ancestor for LOWESS filters.
class	AbstractSavitzkyGolay<T extends DataContainer>	Abstract ancestor for Savitzky-Golay filters.
class	AbstractSAX<T extends DataContainer>	Ancestor for SAX filters.
class	AbstractSimpleSavitzkyGolay<T extends DataContainer>	Abstract ancestor for simple Savitzky-Golay filters.
class	TimeseriesFastWavelet	A filter that transforms the data with a wavelet. For more information see: (2009).
class	TimeseriesFFT	A filter that transforms the data with Fast Fourier Transform. For more information see: Mark Hale (2009).
class	TimeseriesLOWESS	A filter that applies LOWESS smoothing. For more information see: WikiPedia.
class	TimeseriesSavitzkyGolay	A filter that applies Savitzky-Golay smoothing. For more information see: A.
class	TimeseriesSAX	Performs Symbolic Aggregate approXimation (SAX). The data must be normalized using adams.data.filter.RowNorm beforehand. For more information see: Chiu, B., Keogh, E., Lonardi, S. (2003).

Uses of TechnicalInformationHandler in adams.data.image.transformer.whitebalance

Classes in adams.data.image.transformer.whitebalance that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	GIMP	Uses the algorithm for white balancing as used by GIMP. The White Balance command automatically adjusts the colors by stretching the Red, Green and Blue channels separately.
class	GrayWorld	Basic algorithm that incorporates the Gray World assumption, which argues that the average reflectance of scene is achromatic.
class	WhitePatch	Basic algorithm that is based on the Retinex theory of visual color constancy, which argues that perceived white is associated with the maximum cone signals.

Uses of TechnicalInformationHandler in adams.data.instancesanalysis.pls

Classes in adams.data.instancesanalysis.pls that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	AbstractMultiClassPLS	Ancestor for schemes that predict multiple classes.
class	AbstractPLS	Ancestor for PLS implementations.
class	AbstractSingleClassPLS	Ancestor for schemes that predict a single class.
class	DIPLS	Domain Invariant Partial Least Squares (DIPLS). For more information see: Ramin Nikzad-Langerodi, Werner Zellinger, Edwin Lughofer,, Susanne Saminger-Platz.
class	KernelPLS	Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space For more information see: Roman Rosipal, Leonard J.
class	NIPALS	Nonlinear Iterative Partial Least Squares (NIPALS). For more information see: scikit-learn.
class	OPLS	Orthogonal Projections to latent structures (O-PLS). For more informatio see: Johan Trygg, Svante Wold (2001).
class	PLS1	Implementation of PLS1 algorithm. For more information see: Tormod Naes, Tomas Isaksson, Tom Fearn, Tony Davies (2002).
class	PRM	Partial robust M-regression (PRM). For more information see: Sven Serneels, Christophe Croux, Peter Filzmoser, Pierre J.Van Espen (2005).
class	SIMPLS	Implementation of SIMPLS algorithm. Available matrices: W, B For more information see: Tormod Naes, Tomas Isaksson, Tom Fearn, Tony Davies (2002).
class	SparsePLS	Nonlinear Iterative Partial Least Squares (SparsePLS). Automatically standardizes X and Y internally. For more information see: Chun H, Keles S. (2010).
class	VCPLS	Variance constrained partial least squares. For more information see: Xiubao Jiang, Xinge You, Shujian Yu, Dacheng Tao, C.L.

Uses of TechnicalInformationHandler in adams.data.lire.features

Classes in adams.data.lire.features that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	AutoColorCorrelogram	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram. For more information on the LIRE project, see: http://www.lire-project.net/ For more information see: Huang, J.; Kumar, S.
class	CEDD	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.CEDD. For more information, see: Savvas A.
class	FCTH	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.FCTH. For more information, see: Savvas A.
class	FuzzyOpponentHistogram	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.FuzzyOpponentHistogram. For more information, see: van de Sande, K.E.A., Gevers, T., Snoek, C.G.M. (2010).
class	JointHistogram	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.joint.JointHistogram. For more information, see: Mathias Lux, Savvas A.
class	LocalBinaryPatternsAndOpponent	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.joint.LocalBinaryPatternsAndOpponent. For more information, see: Mathias Lux, Savvas A.
class	OpponentHistogram	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.OpponentHistogram. For more information, see: van de Sande, K.E.A., Gevers, T., Snoek, C.G.M. (2010).
class	PHOG	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.PHOG. For more information, see: Anna Bosch, Andrew Zisserman & Xavier Munoz: Representing shape with a spatial pyramid kernel.
class	RankAndOpponent	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.joint.RankAndOpponent. For more information, see: Mathias Lux, Savvas A.
class	SimpleCentrist	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.centrist.SimpleCentrist. For more information, see: Jianxin Wu; Rehg, J.M. (2011).
class	SpatialPyramidAutoColorCorrelogram	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPACC. For more information, see: Mathias Lux, Savvas A.
class	SpatialPyramidCEDD	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPCEDD. For more information, see: Savvas A.
class	SpatialPyramidCentrist	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.centrist.SpatialPyramidCentrist. For more information, see: Jianxin Wu; Rehg, J.M. (2011).
class	SpatialPyramidFCTH	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPFCTH. For more information, see: Savvas A.

Uses of TechnicalInformationHandler in adams.data.smoothing

Classes in adams.data.smoothing that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	AbstractLOWESSBased<T extends DataContainer>	Abstract ancestor for LOWESS-based smoothers.
class	AbstractSavitzkyGolayBased<T extends DataContainer>	Abstract ancestor for Savitzky-Golay-based smoothers.
class	TimeseriesLOWESSBased	A LOWESS based smoothing algorithm. For more information on LOWESS see: WikiPedia.
class	TimeseriesSavitzkyGolayBased	A Savitzky-Golay based smoothing algorithm. It uses a Savitzky-Golay filter with derivative order 0 and adding of mass-spec data turned on. For more information on Savitzky-Golay see: A.

Uses of TechnicalInformationHandler in adams.data.spc

Subinterfaces of TechnicalInformationHandler in adams.data.spc

Modifier and Type	Interface	Description
interface	ControlChart	Interface for all control charts.
interface	ControlChartWithSampleSize	Interface for all control charts with sample sizes.
interface	IndividualsControlChart	Interface for control charts that work on individuals rather than samples.
interface	MatrixControlChart	Interface for control charts that work on a matrix.
interface	SamplesControlChart	Interface for control charts that work on samples rather than individuals.

Classes in adams.data.spc that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	AbstractControlChart	Ancestor for control charts.
class	AbstractControlChartWithSampleSize	Ancestor for control charts.
class	CChart	Generates data for a c chart. For more information see: QICacros. c Chart Formulas.
class	MOACUSUM	CUSUM (cumulative sum control chart) is a sequential analysis technique developed by E.
class	MOAPageHinkley	Page-Hinkley Test. This version is based on MOA's drift detector: https://github.com/apache/incubator-samoa/blob/9b178f63152e5b4c262e0f3ed28e77667832fc98/samoa-api/src/main/java/org/apache/samoa/moa/classifiers/core/driftdetection/PageHinkleyDM.java
class	NPChart	Generates data for an np chart. For more information see: QICacros. np Chart Formulas.
class	PChart	Generates data for a p chart. For more information see: QICacros. p Chart Formulas.
class	UChart	Generates data for a u chart. For more information see: QICacros. u Chart Formulas.
class	XBarRChart	Generates data for a XBar R chart. For more information see: QICacros.
class	XBarSChart	Generates data for an XBar S chart. For more information see: QICacros.

Uses of TechnicalInformationHandler in adams.data.spreadsheet.colstatistic

Classes in adams.data.spreadsheet.colstatistic that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	SignalToNoiseRatio	Calculates the signal to noise ratio for a numeric column. For more information, see: WikiPedia.

Uses of TechnicalInformationHandler in adams.data.spreadsheet.rowstatistic

Classes in adams.data.spreadsheet.rowstatistic that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	SignalToNoiseRatio	Calculates the signal to noise ratio for a numeric row. For more information, see: WikiPedia.

Uses of TechnicalInformationHandler in adams.data.statistics

Classes in adams.data.statistics that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	ArrayAndrewsCurves<T extends Number>	Generates Andrews Curves from array data. César Ignacio García Osorio, Colin Fyfe (2003).
class	ArrayAngle<T extends Number>	Calculates the angle between the first array and the remaining arrays.
class	ArrayHistogram<T extends Number>	Generates a histogram from the given array. The formulas for the various width/#bin calculations can be found here: WikiPedia (2010).
class	ArrayKendallTheil<T extends Number>	Calculates the Kendall-Theil robust slope (also called Theil-Sen estimator) between the first array and the remaining arrays.

Uses of TechnicalInformationHandler in adams.flow.control.plotprocessor

Classes in adams.flow.control.plotprocessor that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	LOWESS	A processor that applies LOWESS smoothing. For more information see: WikiPedia.
class	SavitzkyGolay	A processor that applies SavitzkyGolay smoothing. For more information see: A.
class	SimpleSavitzkyGolay	A processor that applies SimpleSavitzkyGolay smoothing. For more information see: A.

Uses of TechnicalInformationHandler in adams.flow.source

Classes in adams.flow.source that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	SSHExec	Runs a system command via ssh on a remote machine and broadcasts the generated output (stdout or stderr). For more information see: (2011).

Uses of TechnicalInformationHandler in adams.flow.standalone

Classes in adams.flow.standalone that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	SSHConnection	Provides access to a remote host via SSH. For more information see: (2011).

Uses of TechnicalInformationHandler in adams.flow.transformer

Classes in adams.flow.transformer that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	ScpFrom	Downloads a remote file and forwards the local file name using secure copy (SCP). For more information see: (2011).
class	ScpTo	Uploads a file to a remote directory using secure copy (SCP). The file name of a successful upload gets forwarded. For more information see: (2011).
class	SFTPDelete	Deletes a remote file via secure FTP (SFTP) and forwards the deleted file name. For more information see: (2011).
class	SFTPGet	Downloads a remote file and forwards the local file name via secure FTP (SFTP). For more information see: (2011).
class	SFTPSend	Uploads a file to a remote directory using secure FTP (SFTP). The file name of a successful upload gets forwarded. For more information see: (2011).

Uses of TechnicalInformationHandler in adams.flow.transformer.plotgenerator

Classes in adams.flow.transformer.plotgenerator that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	AndrewsCurvesGenerator	Generates plot containers from row-based data for Andrews Curves. César Ignacio García Osorio, Colin Fyfe (2003).

Uses of TechnicalInformationHandler in adams.flow.transformer.timeseriessplit

Classes in adams.flow.transformer.timeseriessplit that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	ReportDate	Splits the timeseries using a field from its report. Accepted date formats: yyyy-MM-dd HH:mm:ss yyyy-MM-dd HH:mm:ss.S yyyy-MM-dd

Uses of TechnicalInformationHandler in adams.flow.transformer.wekaclusterer

Classes in adams.flow.transformer.wekaclusterer that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	AverageSilhouetteCoefficient	Computes the average Silhouette coefficient for the clusters.

Uses of TechnicalInformationHandler in adams.gui.visualization.core

Classes in adams.gui.visualization.core that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	X11ColorProvider	Color provider using a subset of colors from the X11 RGB text file. For more information, see: Jim Gettys, Paul Ravelling, John C.

Uses of TechnicalInformationHandler in adams.gui.visualization.report

Classes in adams.gui.visualization.report that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	ReportDateFieldPaintlet	Paintlet for painting an indicator based on the date(s) stored in the report. For more details on the date format, see: Javadoc. java.text.SimpleDateFormat.
class	ReportDateFieldRangePaintlet	Paintlet for painting a background region based on the date stored in a report. For more details on the date format, see: Javadoc. java.text.SimpleDateFormat.

Uses of TechnicalInformationHandler in adams.gui.visualization.sequence

Classes in adams.gui.visualization.sequence that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	KendallTheilOverlayPaintlet	Draws a straight line, using slope and intercept determined by Theil-Sen estimator using all the data points in the plot(s). For more information, see: Wikipedia.
class	LOWESSOverlayPaintlet	Overlay that applies LOWESS smoothing over all the data points in the plot(s). For more information see: WikiPedia.

Uses of TechnicalInformationHandler in adams.gui.visualization.stats.paintlet

Classes in adams.gui.visualization.stats.paintlet that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	LowessPaintlet	Paintlet for drawing the lowess overlay.

Uses of TechnicalInformationHandler in adams.gui.visualization.stats.scatterplot

Classes in adams.gui.visualization.stats.scatterplot that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	Lowess	Display a lowess curve as an overlay.

Uses of TechnicalInformationHandler in adams.ml.preprocessing.unsupervised

Classes in adams.ml.preprocessing.unsupervised that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	SavitzkyGolay	A filter that applies Savitzky-Golay smoothing. For more information see: A.

Uses of TechnicalInformationHandler in weka.classifiers.trees

Classes in weka.classifiers.trees that implement TechnicalInformationHandler

Modifier and Type	Class	Description
class	XGBoost	Classifier implementing XGBoost.