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K

k - Variable in class ristretto.problem.fs.subset.supervised.FSSubsetSupervisedProblem.ClassifierParameters

k value for KNN

kappa(Map<Object, PerformanceMeasure>) - Static method in class ristretto.jmltools.classification.evaluation.PerformanceIndexes

This method implements the Kappa statistic [1], which measures inter-rater agreement for qualitative (categorical) items.

kappa(Classifier, Dataset) - Static method in class ristretto.jmltools.classification.evaluation.PerformanceIndexes

This method implements the Kappa statistic [1], which measures inter-rater agreement for qualitative (categorical) items.

KMedians - Class in ristretto.jmltools.clustering

Implement the K-medians algorithm.

KMedians() - Constructor for class ristretto.jmltools.clustering.KMedians

Construct a default K-medians clusterer with 100 iterations, 4 clusters, a default random generator and using the Manhattan distance.

KMedians(int) - Constructor for class ristretto.jmltools.clustering.KMedians

Construct a default K-medians clusterer with the specified number of clusters, 100 iterations, a default random generator and using the Manhattan distance.

KMedians(int, int) - Constructor for class ristretto.jmltools.clustering.KMedians

Create a new K-medians clusterer with the given number of clusters and iterations.

KMedians(int, int, DistanceMeasure) - Constructor for class ristretto.jmltools.clustering.KMedians

Create a new K-medians clusterer with the given number of clusters and iterations.

KolmogorovSmirnovNormalityTest - Class in ristretto.tools

Applies a Kolmogorov-Smirnov normality test to a set of values and prints the p-value

KolmogorovSmirnovNormalityTest() - Constructor for class ristretto.tools.KolmogorovSmirnovNormalityTest

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