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.synthetic.bymodel	Generator using a distribution model specified in an XML configuration file GeneratorXMLSpec is a standalone application that loads an XML specification file and generates a synthetic data set according to the specifications given.
de.lmu.ifi.dbs.elki.data.type	Data type information, also used for type restrictions
de.lmu.ifi.dbs.elki.database	ELKI database layer - loading, storing, indexing and accessing data
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.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 java.util.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(java.lang.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(java.util.List<ClassLabel> l1, double[] d1, java.util.Collection<ClassLabel> l2) Align the labels for a label query.
protected double[]	AbstractClassifier.alignLabels(java.util.List<ClassLabel> l1, double[] d1, java.util.Collection<ClassLabel> l2) Align the labels for a label query.
void	Classifier.buildClassifier(Database database, Relation<? extends ClassLabel> classLabels) Performs the training.
void	PriorProbabilityClassifier.buildClassifier(Database database, Relation<? extends ClassLabel> labelrep) Learns the prior probability for all classes.
void	KNNClassifier.buildClassifier(Database database, Relation<? extends ClassLabel> labels)
double[]	KNNClassifier.classProbabilities(O instance, java.util.ArrayList<ClassLabel> labels)
double[]	PriorProbabilityClassifier.classProbabilities(java.lang.Object instance, java.util.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)
int	HierarchicalClassLabel.compareTo(ClassLabel o) Compares two HierarchicalClassLabels.

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

Fields in de.lmu.ifi.dbs.elki.data.synthetic.bymodel declared as ClassLabel

Modifier and Type	Field and Description
private ClassLabel[]	GeneratorMain.AssignLabelsByDensity.labels Cluster labels.

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

Modifier and Type	Method and Description
private double[][]	GeneratorMain.AssignLabelsByDistance.clusterCenters(java.util.ArrayList<GeneratorInterface> generators, ClassLabel[] labels) Compute the cluster centers for each cluster.
private void	GeneratorMain.initLabelsAndModels(java.util.ArrayList<GeneratorInterface> generators, ClassLabel[] labels, Model[] models, java.util.regex.Pattern reassign) Initialize cluster labels and models.

Constructors in de.lmu.ifi.dbs.elki.data.synthetic.bymodel with parameters of type ClassLabel

Constructor and Description
AssignLabelsByDensity(ClassLabel[] labels) Constructor.
AssignLabelsByDistance(ClassLabel[] labels) Constructor.

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.database

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

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

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

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

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 java.util.List<Centroid>	LinearDiscriminantAnalysisFilter.computeCentroids(int dim, java.util.List<V> vectorcolumn, java.util.List<ClassLabel> keys, java.util.Map<ClassLabel,it.unimi.dsi.fastutil.ints.IntList> classes) Compute the centroid for each class.
protected java.util.List<Centroid>	LinearDiscriminantAnalysisFilter.computeCentroids(int dim, java.util.List<V> vectorcolumn, java.util.List<ClassLabel> keys, java.util.Map<ClassLabel,it.unimi.dsi.fastutil.ints.IntList> classes) Compute the centroid for each class.
protected abstract double[][]	AbstractSupervisedProjectionVectorFilter.computeProjectionMatrix(java.util.List<V> vectorcolumn, java.util.List<? extends ClassLabel> classcolumn, int dim) computes the projection matrix
protected double[][]	LinearDiscriminantAnalysisFilter.computeProjectionMatrix(java.util.List<V> vectorcolumn, java.util.List<? extends ClassLabel> classcolumn, int dim)

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 java.util.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(java.util.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 java.util.ArrayList<ClassLabel>	TrainingAndTestSet.labels The overall labels.
protected java.util.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 java.util.ArrayList<ClassLabel>	AbstractHoldout.allClassLabels(MultipleObjectsBundle bundle) Get an array of all class labels in a given data set.
static java.util.ArrayList<ClassLabel>	AbstractHoldout.allClassLabels(MultipleObjectsBundle bundle, int col) Get an array of all class labels in a given data set.
java.util.ArrayList<ClassLabel>	TrainingAndTestSet.getLabels() Returns all labels present in the data set.
java.util.ArrayList<ClassLabel>	Holdout.getLabels() Get the sorted class labels present in this data set.
java.util.ArrayList<ClassLabel>	AbstractHoldout.getLabels()

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, java.util.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.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