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## K

keyValueDelimiter - Variable in class de.jstacs.data.sequences.annotation.SplitSequenceAnnotationParser
  The delimiter between key and value
KFoldCrossValidation - Class in de.jstacs.classifiers.assessment
  This class implements a k-fold crossvalidation.
KFoldCrossValidation(AbstractClassifier[], TrainableStatisticalModel[][], boolean, boolean) - Constructor for class de.jstacs.classifiers.assessment.KFoldCrossValidation
  Creates a new `KFoldCrossValidation` from an array of `AbstractClassifier`s and a two-dimensional array of `TrainableStatisticalModel` s, which are combined to additional classifiers.
KFoldCrossValidation(AbstractClassifier...) - Constructor for class de.jstacs.classifiers.assessment.KFoldCrossValidation
  Creates a new `KFoldCrossValidation` from a set of `AbstractClassifier`s.
KFoldCrossValidation(boolean, TrainableStatisticalModel[]...) - Constructor for class de.jstacs.classifiers.assessment.KFoldCrossValidation
  Creates a new `KFoldCrossValidation` from a set of `TrainableStatisticalModel`s.
KFoldCrossValidation(AbstractClassifier[], boolean, TrainableStatisticalModel[]...) - Constructor for class de.jstacs.classifiers.assessment.KFoldCrossValidation
  This constructor allows to assess a collection of given `AbstractClassifier`s and those constructed using the given `TrainableStatisticalModel`s by a `KFoldCrossValidation` .
KFoldCrossValidationAssessParameterSet - Class in de.jstacs.classifiers.assessment
  This class implements a `ClassifierAssessmentAssessParameterSet` that must be used to call method `assess( ... )` of a `KFoldCrossValidation`.
KFoldCrossValidationAssessParameterSet() - Constructor for class de.jstacs.classifiers.assessment.KFoldCrossValidationAssessParameterSet
  Constructs a new `KFoldCrossValidationAssessParameterSet` with empty parameter values.
KFoldCrossValidationAssessParameterSet(StringBuffer) - Constructor for class de.jstacs.classifiers.assessment.KFoldCrossValidationAssessParameterSet
  The standard constructor for the interface `Storable`.
KFoldCrossValidationAssessParameterSet(DataSet.PartitionMethod, int, boolean, int) - Constructor for class de.jstacs.classifiers.assessment.KFoldCrossValidationAssessParameterSet
  Constructs a new `KFoldCrossValidationAssessParameterSet` with given parameter values.
KMereStatistic - Class in de.jstacs.motifDiscovery
  This class enables the user to get some statistics of a `DataSet` in an easy way.
KMereStatistic(DataSet, 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).

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