Uses of Class
de.lmu.ifi.dbs.elki.data.ClassLabel

Packages that use ClassLabel

Package	Description
de.lmu.ifi.dbs.elki.algorithm.classification	Classification algorithms.
de.lmu.ifi.dbs.elki.data	Basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.data.type	Data type information, also used for type restrictions.
de.lmu.ifi.dbs.elki.datasource.filter.transform	Data space transformations.
de.lmu.ifi.dbs.elki.evaluation.classification	Evaluation of classification algorithms.
de.lmu.ifi.dbs.elki.evaluation.classification.holdout	Holdout and cross-validation strategies for evaluating classifiers.
de.lmu.ifi.dbs.elki.utilities	Utility and helper classes - commonly used data structures, output formatting, exceptions, ...
de.lmu.ifi.dbs.elki.visualization.gui	Package to provide a visualization GUI.

Uses of ClassLabel in de.lmu.ifi.dbs.elki.algorithm.classification

Fields in de.lmu.ifi.dbs.elki.algorithm.classification declared as ClassLabel

Modifier and Type	Field and Description
protected ClassLabel	PriorProbabilityClassifier.prediction Index of the most abundant class.

Fields in de.lmu.ifi.dbs.elki.algorithm.classification with type parameters of type ClassLabel

Modifier and Type	Field and Description
protected Relation<? extends ClassLabel>	KNNClassifier.labelrep Class label representation.
protected ArrayList<ClassLabel>	PriorProbabilityClassifier.labels Class labels seen.

Methods in de.lmu.ifi.dbs.elki.algorithm.classification that return ClassLabel

Modifier and Type	Method and Description
ClassLabel	Classifier.classify(O instance) Classify a single instance.
ClassLabel	KNNClassifier.classify(O instance)
ClassLabel	PriorProbabilityClassifier.classify(Object instance)

Method parameters in de.lmu.ifi.dbs.elki.algorithm.classification with type arguments of type ClassLabel

Modifier and Type	Method and Description
protected double[]	AbstractClassifier.alignLabels(List<ClassLabel> l1, double[] d1, Collection<ClassLabel> l2) Align the labels for a label query.
protected double[]	AbstractClassifier.alignLabels(List<ClassLabel> l1, double[] d1, Collection<ClassLabel> l2) Align the labels for a label query.
void	Classifier.buildClassifier(Database database, Relation<? extends ClassLabel> classLabels) Performs the training.
void	KNNClassifier.buildClassifier(Database database, Relation<? extends ClassLabel> labels)
void	PriorProbabilityClassifier.buildClassifier(Database database, Relation<? extends ClassLabel> labelrep) Learns the prior probability for all classes.
double[]	KNNClassifier.classProbabilities(O instance, ArrayList<ClassLabel> labels)
double[]	PriorProbabilityClassifier.classProbabilities(Object instance, ArrayList<ClassLabel> labels)

Uses of ClassLabel in de.lmu.ifi.dbs.elki.data

Classes in de.lmu.ifi.dbs.elki.data with type parameters of type ClassLabel

Modifier and Type	Class and Description
static class	ClassLabel.Factory<L extends ClassLabel> Class label factory.

Subclasses of ClassLabel in de.lmu.ifi.dbs.elki.data

Modifier and Type	Class and Description
class	HierarchicalClassLabel A HierarchicalClassLabel is a ClassLabel to reflect a hierarchical structure of classes.
class	SimpleClassLabel A simple class label casting a String as it is as label.

Methods in de.lmu.ifi.dbs.elki.data with parameters of type ClassLabel

Modifier and Type	Method and Description
int	SimpleClassLabel.compareTo(ClassLabel o) The ordering of two SimpleClassLabels is given by the ordering on the Strings they represent.
int	HierarchicalClassLabel.compareTo(ClassLabel o) Compares two HierarchicalClassLabels.

Uses of ClassLabel in de.lmu.ifi.dbs.elki.data.type

Fields in de.lmu.ifi.dbs.elki.data.type with type parameters of type ClassLabel

Modifier and Type	Field and Description
static SimpleTypeInformation<ClassLabel>	TypeUtil.CLASSLABEL A class label.

Uses of ClassLabel in de.lmu.ifi.dbs.elki.datasource.filter.transform

Method parameters in de.lmu.ifi.dbs.elki.datasource.filter.transform with type arguments of type ClassLabel

Modifier and Type	Method and Description
protected List<Centroid>	LinearDiscriminantAnalysisFilter.computeCentroids(int dim, List<V> vectorcolumn, List<ClassLabel> keys, Map<ClassLabel,gnu.trove.list.TIntList> classes) Compute the centroid for each class.
protected List<Centroid>	LinearDiscriminantAnalysisFilter.computeCentroids(int dim, List<V> vectorcolumn, List<ClassLabel> keys, Map<ClassLabel,gnu.trove.list.TIntList> classes) Compute the centroid for each class.
protected Matrix	LinearDiscriminantAnalysisFilter.computeProjectionMatrix(List<V> vectorcolumn, List<? extends ClassLabel> classcolumn, int dim)
protected abstract Matrix	AbstractSupervisedProjectionVectorFilter.computeProjectionMatrix(List<V> vectorcolumn, List<? extends ClassLabel> classcolumn, int dim) computes the projection matrix

Uses of ClassLabel in de.lmu.ifi.dbs.elki.evaluation.classification

Fields in de.lmu.ifi.dbs.elki.evaluation.classification with type parameters of type ClassLabel

Modifier and Type	Field and Description
private ArrayList<ClassLabel>	ConfusionMatrix.labels Holds the class labels.

Constructor parameters in de.lmu.ifi.dbs.elki.evaluation.classification with type arguments of type ClassLabel

Constructor and Description
ConfusionMatrix(ArrayList<ClassLabel> labels, int[][] confusion) Provides a confusion matrix for the given values.

Uses of ClassLabel in de.lmu.ifi.dbs.elki.evaluation.classification.holdout

Fields in de.lmu.ifi.dbs.elki.evaluation.classification.holdout with type parameters of type ClassLabel

Modifier and Type	Field and Description
private ArrayList<ClassLabel>	TrainingAndTestSet.labels The overall labels.
protected ArrayList<ClassLabel>	AbstractHoldout.labels Labels in the current data set.

Methods in de.lmu.ifi.dbs.elki.evaluation.classification.holdout that return types with arguments of type ClassLabel

Modifier and Type	Method and Description
static ArrayList<ClassLabel>	AbstractHoldout.allClassLabels(MultipleObjectsBundle bundle) Get an array of all class labels in a given data set.
static ArrayList<ClassLabel>	AbstractHoldout.allClassLabels(MultipleObjectsBundle bundle, int col) Get an array of all class labels in a given data set.
ArrayList<ClassLabel>	TrainingAndTestSet.getLabels() Returns all labels present in the data set.
ArrayList<ClassLabel>	AbstractHoldout.getLabels()
ArrayList<ClassLabel>	Holdout.getLabels() Get the sorted class labels present in this data set.

Constructor parameters in de.lmu.ifi.dbs.elki.evaluation.classification.holdout with type arguments of type ClassLabel

Constructor and Description
TrainingAndTestSet(MultipleObjectsBundle training, MultipleObjectsBundle test, ArrayList<ClassLabel> labels) Provides a pair of training and test data sets out of the given two databases.

Uses of ClassLabel in de.lmu.ifi.dbs.elki.utilities

Methods in de.lmu.ifi.dbs.elki.utilities that return types with arguments of type ClassLabel

Modifier and Type	Method and Description
static SortedSet<ClassLabel>	DatabaseUtil.getClassLabels(Database database) Retrieves all class labels within the database.
static SortedSet<ClassLabel>	DatabaseUtil.getClassLabels(Relation<? extends ClassLabel> database) Retrieves all class labels within the database.

Method parameters in de.lmu.ifi.dbs.elki.utilities with type arguments of type ClassLabel

Modifier and Type	Method and Description
static SortedSet<ClassLabel>	DatabaseUtil.getClassLabels(Relation<? extends ClassLabel> database) Retrieves all class labels within the database.

Uses of ClassLabel in de.lmu.ifi.dbs.elki.visualization.gui

Fields in de.lmu.ifi.dbs.elki.visualization.gui with type parameters of type ClassLabel

Modifier and Type	Field and Description
(package private) ModifiableRelation<ClassLabel>	SelectionTableWindow.crep Class label representation