A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

ALGEBRAIC - Static variable in class graph.TextLine

Format to use when parsing a double

ARRAYSIZE - Static variable in class graph.IsoCurve

Initial size of the array that will hold a contour.

AU - Static variable in class graph.SpecialFunction

Astronomical Unit (radius of the Earth's orbit).

AVOGADRO - Static variable in class graph.SpecialFunction

Avogadro Number.

AddMarker(int, int, boolean[], int[], int[]) - Method in class graph.Markers

Add the definition of a new marker.

AddMarker(int, boolean[], int[], int[]) - Method in class graph.Markers

Add the definition of a new marker.

Axis - class graph.Axis.

This class controls the look and feel of axes.

Axis() - Constructor for class graph.Axis

Instantiate the class.

Axis(int) - Constructor for class graph.Axis

Instantiate the class.

acosh(double) - Static method in class graph.SpecialFunction

action(Event, Object) - Method in class graph.G2Dint

Handle the Action Events.

action(Event, Object) - Method in class graph.Range

actionPerformed(ActionEvent) - Method in class TCEJ

addBayesCategoryResult(String, double) - Method in class tc.TCNaiveBayesResult

adds a result for one category.

addDataPoint(int, int, int) - Method in class graph.IsoCurve

Add a data point to the contour curve.

addDataPoint(double, double) - Method in class graph.IsoCurve

Add a data point to the contour curve.

addDocument(TCDocument) - Method in class tc.TCCategory

adds a new document to the category

addDocument(TCDocument) - Method in class tc.TCCorpus

adds a new document to the corpus.

addDocumentFrequency(int) - Method in class tc.TCTerm

addEvaluationResult(TCEvaluationResult) - Method in class tc.TCAccuracyResult

adds one evaluation result to the instance of the class and does all the computaions necessary to calculate 11point presision, break even and average precision

addFalseNegative() - Method in class tc.TCContingencyTable

addFalsePositive() - Method in class tc.TCContingencyTable

addKNNListElement(TCkNNListElement) - Method in class tc.TCkNNResult

adds an element out of a scoring list ({document, score}) and updates the category scorings, etc.

addScore(double) - Method in class tc.TCkNNResult.TCkNNCategoryListElement

addTermFrequency(int) - Method in class tc.TCTerm

addTrueNegative() - Method in class tc.TCContingencyTable

addTruePositive() - Method in class tc.TCContingencyTable

allCategoryLabels - Variable in class tc.TCCorpus

contains all category labels of all the categories in the corpus

allTerms - Variable in class tc.TCCategory

all the unique terms belonging to this category

allTerms - Variable in class tc.TCCorpus

all terms in this corpus (with corresponding number of occurence, term frequency, ...) see class TCTerm

allTerms - Variable in class tc.TCDocument

all the distinct terms in the document

allTermsOfInterest - Variable in class tc.TCCorpus

contains all the terms after the application of a dimensionality reduction step.

amax - Variable in class graph.Axis

The position in pixels of the maximum point of the axis line

amin - Variable in class graph.Axis

The position in pixels of the minimum point of the axis line

angle - Variable in class graph.RTextLine

Rotation Angle of text in degrees

angle - Variable in class graph.RotateTextFilter

append(double[], int) - Method in class graph.DataSet

Append data to the data set.

applyKNNToDocumentFromFile(TCDocument, int, int) - Method in class tc.TCCorpus

applies the kNN classifier to the given document (loaded from a file before!).

applyKNNToTestDocument(TCDocument, int) - Method in class tc.TCCorpus

applies the kNN classifier to the given document (out of the test documents!) calculates similarity to all documents in the training set and saves the scores in a list together with the labels the documents belonged to

applyNaiveBayesBernoulliToDocumentFromFile(TCDocument) - Method in class tc.TCCorpus

Classifies one document out of the test documents with the naive bayes algorithm (bernoulli).

applyNaiveBayesBernoulliToTestDocument(TCDocument) - Method in class tc.TCCorpus

Classifies one document out of the test documents with the naive bayes algorithm (bernoulli).

ascent - Variable in class graph.TextLine

The ascent using the current font

asinh(double) - Static method in class graph.SpecialFunction

atanh(double) - Static method in class graph.SpecialFunction

attachAxis(Axis) - Method in class graph.G2Dint

Attach axis to be used for the drag scaling.

attachAxis(Axis) - Method in class graph.Graph2D

Attach a previously created Axis.

attachDataSet(DataSet) - Method in class graph.Axis

Attach a DataSet for the Axis to manage.

attachDataSet(DataSet) - Method in class graph.Graph2D

Attach a DataSet to the graph.

attachXdata(DataSet) - Method in class graph.Axis

Attach a DataSet to a Horizontal Axis

attachYdata(DataSet) - Method in class graph.Axis

Attach a DataSet to a Vertical Axis

averagePrecision - Variable in class tc.TCAccuracyResult

averagePrecisionSum - Variable in class tc.TCAccuracyResult

axis - Variable in class graph.Graph2D

A vector list of All the axes attached

axiscolor - Variable in class graph.Axis

Color of the Axis.