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

K

K1 - Static variable in class de.aitools.ir.retrievalmodels.representer.OkapiBM25

K3 - Static variable in class de.aitools.ir.retrievalmodels.representer.OkapiBM25

KEY_COUNT_FIELD_NUMBER - Static variable in class de.aitools.aq.invertedindex.generated.IndexMessages.Header

KeyphraseExtractor - Class in de.aitools.ie.keyphraseextraction

An abstract class to extract key phrases from given text.

KeyphraseHeadAnalyzer - Class in de.aitools.dm.clusterlabeling.common

KeyphraseHeadAnalyzer(KeyphraseExtractor) - Constructor for class de.aitools.dm.clusterlabeling.common.KeyphraseHeadAnalyzer

KeyphraseHeadAnalyzer(KeyphraseExtractor, int, int, int) - Constructor for class de.aitools.dm.clusterlabeling.common.KeyphraseHeadAnalyzer

KeyphraseLabeler - Class in de.aitools.dm.clusterlabeling.algorithms

KeyphraseLabeler(Clusterer, VectorSpace, List<String>, int) - Constructor for class de.aitools.dm.clusterlabeling.algorithms.KeyphraseLabeler

KeyphraseLabelerUsage - Class in de.aitools.dm.clusterlabeling.usage

KeyphraseLabelerUsage() - Constructor for class de.aitools.dm.clusterlabeling.usage.KeyphraseLabelerUsage

keySet() - Method in class de.aitools.aq.bighashmap.core.BigHashMap

Not supported.

keySet() - Method in class de.aitools.ir.retrievalmodels.document.Feature

KMeans - Class in de.aitools.dm.clustering.algorithms

This class clusters Vectors using the KMeans algorithm.

KMeans(Configuration) - Constructor for class de.aitools.dm.clustering.algorithms.KMeans

Constructor with a specified Configuration.

KMeans() - Constructor for class de.aitools.dm.clustering.algorithms.KMeans

KMeans using default settings.

KMeans(int, Proximity<Vector>, boolean) - Constructor for class de.aitools.dm.clustering.algorithms.KMeans

The constructor to use in most cases.
The default seed for randomization is used.

KMeans(int, Proximity<Vector>, boolean, long) - Constructor for class de.aitools.dm.clustering.algorithms.KMeans

If one does not want to try out another seed value, use the constructor with the default seed value (without the randomSeed parameter) instead.

KNearestNeighbor - Class in de.aitools.iv.graphdrawing.datastructures.graph.algorithms

implements an algorithm to compute the k nearest neighbor graph of a weighted graph.

KNearestNeighbor() - Constructor for class de.aitools.iv.graphdrawing.datastructures.graph.algorithms.KNearestNeighbor

KNearestNeighbor(int, int) - Constructor for class de.aitools.iv.graphdrawing.datastructures.graph.algorithms.KNearestNeighbor

KNNGraph - Class in de.aitools.aq.graph.weighted.util

Deprecated. new implementation will be added soon. It will use a GraphCreator interface. KNN is then only one of different concrete classes.

KNNGraph - Class in de.aitools.iv.graphdrawing.datastructures.graph.algorithms

KNNGraph() - Constructor for class de.aitools.iv.graphdrawing.datastructures.graph.algorithms.KNNGraph

KNNHAC - Class in de.aitools.dm.clustering.algorithms

Class for clustering Vectors using the Hierarchical Agglomerative Clustering algorithm (EfficientHAC) described in Introduction to Information Retrieval
.

KNNHAC(HACClusterMethod, Proximity<Vector>) - Constructor for class de.aitools.dm.clustering.algorithms.KNNHAC

Create a new K-Nearest-Neighbor-Hierarchical-Agglomerative-Clusterer (KNNHAC) using the default value for the number of neighbors (see KNNHAC.setNumberOfNeighbors(int)).

KNNHAC(HACClusterMethod, Proximity<Vector>, int) - Constructor for class de.aitools.dm.clustering.algorithms.KNNHAC

Create a new K-Nearest-Neighbor-Hierarchical-Agglomerative-Clusterer (KNNHAC).

KNNHAC(Configuration) - Constructor for class de.aitools.dm.clustering.algorithms.KNNHAC

Create a new K-Nearest-Neighbor-Hierarchical-Agglomerative-Clusterer (KNNHAC).

KullbackLeiblerDivergence - Class in de.aitools.ir.retrievalmodels.relevance.probabilistic

Implementation of the KullbackLeiblerDivergence.KullbackLeiblerDivergence() based on the remarks made by Jianhua Lin in Divergence measures based on the Shannon entropy.

KullbackLeiblerDivergence() - Constructor for class de.aitools.ir.retrievalmodels.relevance.probabilistic.KullbackLeiblerDivergence