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

K

keyValueDelimiter - Variable in class de.jstacs.data.sequences.annotation.SplitSequenceAnnotationParser

The delimiter between key and value

KFoldCrossValidation - Class in de.jstacs.classifier.assessment

This class implements a k-fold crossvalidation.

KFoldCrossValidation(AbstractClassifier[], Model[][], boolean, boolean) - Constructor for class de.jstacs.classifier.assessment.KFoldCrossValidation

Creates a new KFoldCrossValidation from an array of AbstractClassifiers and a two-dimensional array of Model s, which are combined to additional classifiers.

KFoldCrossValidation(AbstractClassifier...) - Constructor for class de.jstacs.classifier.assessment.KFoldCrossValidation

Creates a new KFoldCrossValidation from a set of AbstractClassifiers.

KFoldCrossValidation(boolean, Model[]...) - Constructor for class de.jstacs.classifier.assessment.KFoldCrossValidation

Creates a new KFoldCrossValidation from a set of Models.

KFoldCrossValidation(AbstractClassifier[], boolean, Model[]...) - Constructor for class de.jstacs.classifier.assessment.KFoldCrossValidation

This constructor allows to assess a collection of given AbstractClassifiers and those constructed using the given AbstractModels by a KFoldCrossValidation .

KFoldCVAssessParameterSet - Class in de.jstacs.classifier.assessment

This class implements a ClassifierAssessmentAssessParameterSet that must be used to call method assess( ... ) of a KFoldCrossValidation.

KFoldCVAssessParameterSet() - Constructor for class de.jstacs.classifier.assessment.KFoldCVAssessParameterSet

Constructs a new KFoldCVAssessParameterSet with empty parameter values.

KFoldCVAssessParameterSet(StringBuffer) - Constructor for class de.jstacs.classifier.assessment.KFoldCVAssessParameterSet

The standard constructor for the interface Storable.

KFoldCVAssessParameterSet(Sample.PartitionMethod, int, boolean, int) - Constructor for class de.jstacs.classifier.assessment.KFoldCVAssessParameterSet

Constructs a new KFoldCVAssessParameterSet with given parameter values.

KMereStatistic - Class in de.jstacs.motifDiscovery

This class enables the user to get some statistics of a Sample in an easy way.

KMereStatistic(Sample, int) - Constructor for class de.jstacs.motifDiscovery.KMereStatistic

This constructor creates an internal statistic counting all k-mers in the data.

kruskal(double[][]) - Static method in class de.jstacs.algorithms.graphs.MST

Does Kruskals algorithm and finds the maximal spanning tree (MST).