- k - Variable in class messif.operations.query.AggregationFunctionQueryOperation
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Number of nearest (top) objects to retrieve
- k - Variable in class messif.operations.query.JoinQueryOperation
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Number of nearest pairs to retrieve
- k - Variable in class messif.operations.query.KNNQueryByLocatorOperation
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Number of nearest objects to retrieve
- k - Variable in class messif.operations.query.KNNQueryOperation
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Number of nearest objects to retrieve
- key - Variable in class messif.buckets.index.impl.LongStorageMemoryIndex.KeyAddressPair
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- key - Variable in class messif.buckets.index.impl.LongStorageMemoryIndexStdSer.KeyAddressPair
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- key - Variable in class messif.objects.keys.DoubleKey
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The double key
- key - Variable in class messif.objects.keys.IntegerKey
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The integer key
- key - Variable in class messif.objects.keys.LongKey
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The long key
- key - Variable in class messif.statistics.StatisticSlidingAvgCounter.ValueTime
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- KeyInterval<T extends java.lang.Comparable<? super T>> - Class in messif.objects.keys
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Closed interval, comparable by the lower bound.
- KeyInterval() - Constructor for class messif.objects.keys.KeyInterval
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- KeyOperator<T extends java.lang.Comparable<? super T>> - Class in messif.objects.keys
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This class provides an abstract operator for object keys that have a defined order.
- KeyOperator() - Constructor for class messif.objects.keys.KeyOperator
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- keys - Variable in class messif.objects.impl.ObjectFeatureQuantized
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List of quantized keys of this feature (e.g.
- keySet() - Method in class messif.utility.ArrayMap
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- keyToLocalObjectComparator - Static variable in enum messif.buckets.index.LocalAbstractObjectOrder
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Index order defined by object keys
- KEYWORD_SPLIT_REGEXP - Static variable in class messif.objects.impl.MetaObjectProfiSCT
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Regular expression used to split keywords
- KeywordClassification<T> - Class in messif.objects.classification.text
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- KeywordClassification(Class<? extends T>, float, float) - Constructor for class messif.objects.classification.text.KeywordClassification
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Creates a new instance of keyword classification for the given keyword-representing class.
- KeywordClassification(Class<? extends T>, ClassificationWithConfidence<?>) - Constructor for class messif.objects.classification.text.KeywordClassification
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Creates a new instance of keyword classification copying the settings from the given classification.
- KeywordClassification(ClassificationWithConfidence<? extends T>) - Constructor for class messif.objects.classification.text.KeywordClassification
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Creates a new instance of keyword classification copying the settings from the given classification.
- KeywordClassifier<I,O> - Interface in messif.objects.classification.text
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Special classifier for keywords.
- keyWords - Variable in class messif.objects.impl.MetaObjectPixMacSCT
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Object for the KeyWordsType
- keyWords - Variable in class messif.objects.impl.MetaObjectPixMacShapeAndColor
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Object for the KeyWordsType
- keyWords - Variable in class messif.objects.impl.MetaObjectProfiSCT
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Object for the KeyWordsType
- keywordString - Variable in class messif.objects.impl.MetaObjectProfiSCT
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Keywords of this object as string (this is not serialized!)
- keywordStrings - Variable in class messif.objects.impl.MetaObjectCophirKeywords
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Array of keyword strings that are represented by the KeyWordsType identifiers
- KMeansComputedPivotChooser - Class in messif.pivotselection
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This class uses the k-means algorithm to cluster the objects,
so artitifial pivots are created as mean vectors from the cluster objects.
- KMeansComputedPivotChooser() - Constructor for class messif.pivotselection.KMeansComputedPivotChooser
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- KMeansComputedPivotChooser(AbstractObjectList<LocalAbstractObject>) - Constructor for class messif.pivotselection.KMeansComputedPivotChooser
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- KMeansPivotChooser - Class in messif.pivotselection
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This class uses the k-means algorithm adapted for metric spaces to cluster the objects,
so it is k-medoids algorithm in fact.
- KMeansPivotChooser() - Constructor for class messif.pivotselection.KMeansPivotChooser
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Creates a new instance of KMeansPivotChooser with empty initial list of pivots.
- KMeansPivotChooser(boolean) - Constructor for class messif.pivotselection.KMeansPivotChooser
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- KMeansPivotChooser(AbstractObjectList<LocalAbstractObject>) - Constructor for class messif.pivotselection.KMeansPivotChooser
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Creates a new instance of KMeansPivotChooser.
- KMeansPivotChooser.CenterThread - Class in messif.pivotselection
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Internal abract thread for selecting new "center" of a cluster.
- KMeansPivotChooser.CenterThread(AbstractObjectList<LocalAbstractObject>, LocalAbstractObject) - Constructor for class messif.pivotselection.KMeansPivotChooser.CenterThread
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Creates a new thread for computing the "center" of a cluster.
- KMeansPivotChooser.ComputeCentroidThread - Class in messif.pivotselection
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Thread for computing a new artifical cluster center as a mean vector of all passed vectors.
- KMeansPivotChooser.ComputeCentroidThread(AbstractObjectList<LocalAbstractObject>, LocalAbstractObject) - Constructor for class messif.pivotselection.KMeansPivotChooser.ComputeCentroidThread
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- KMeansPivotChooser.SelectClustroidThread - Class in messif.pivotselection
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Thread for selecting the "center" of a cluster.
- KMeansPivotChooser.SelectClustroidThread(AbstractObjectList<LocalAbstractObject>, LocalAbstractObject) - Constructor for class messif.pivotselection.KMeansPivotChooser.SelectClustroidThread
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Creates a new SelectClustroidThread for computing the "center" of a cluster.
- KNNMultiQueryOperation - Class in messif.operations.query
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K-nearest neighbors query operation with multiple query objects.
- KNNMultiQueryOperation(LocalAbstractObject[], int) - Constructor for class messif.operations.query.KNNMultiQueryOperation
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Creates a new instance of KNNMultiQueryOperation for given query objects and maximal number of objects to return.
- KNNMultiQueryOperation(LocalAbstractObject[], int, DistanceFunctionMultiObject<? super LocalAbstractObject>) - Constructor for class messif.operations.query.KNNMultiQueryOperation
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Creates a new instance of KNNMultiQueryOperation for given query objects and maximal number of objects to return.
- KNNMultiQueryOperation(LocalAbstractObject[], int, AnswerType, DistanceFunctionMultiObject<? super LocalAbstractObject>) - Constructor for class messif.operations.query.KNNMultiQueryOperation
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Creates a new instance of KNNMultiQueryOperation for given query objects and maximal number of objects to return.
- KNNMultiQueryOperation(LocalAbstractObject[], int, boolean, AnswerType, DistanceFunctionMultiObject<? super LocalAbstractObject>) - Constructor for class messif.operations.query.KNNMultiQueryOperation
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Creates a new instance of KNNMultiQueryOperation for given query objects and maximal number of objects to return.
- KNNOperationClassifier<C> - Class in messif.objects.classification.impl
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Implementation of a classifier by k-nearest neighbors operation.
- KNNOperationClassifier(Classifier<? super RankingQueryOperation, C>, int, Algorithm, String) - Constructor for class messif.objects.classification.impl.KNNOperationClassifier
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Creates a new kNN classifier.
- KNNQueryByLocatorOperation - Class in messif.operations.query
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K-nearest neighbors query operation for query identified just by locator.
- KNNQueryByLocatorOperation(String, int, AnswerType) - Constructor for class messif.operations.query.KNNQueryByLocatorOperation
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Creates a new instance of kNNQueryOperation for a given query object and maximal number of objects to return.
- KNNQueryByLocatorOperation(String, int) - Constructor for class messif.operations.query.KNNQueryByLocatorOperation
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Creates a new instance of kNNQueryOperation for a given query object and maximal number of objects to return.
- KNNQueryOperation - Class in messif.operations.query
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K-nearest neighbors query operation.
- KNNQueryOperation(LocalAbstractObject, int) - Constructor for class messif.operations.query.KNNQueryOperation
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Creates a new instance of kNNQueryOperation for a given query object and maximal number of objects to return.
- KNNQueryOperation(LocalAbstractObject, int, AnswerType) - Constructor for class messif.operations.query.KNNQueryOperation
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Creates a new instance of kNNQueryOperation for a given query object and maximal number of objects to return.
- KNNQueryOperation(LocalAbstractObject, int, boolean, AnswerType) - Constructor for class messif.operations.query.KNNQueryOperation
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Creates a new instance of kNNQueryOperation for a given query object and maximal number of objects to return.
- KNNQueryOperation(LocalAbstractObject, int, boolean, AnswerType, RankedSortedCollection) - Constructor for class messif.operations.query.KNNQueryOperation
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Creates a new instance of kNNQueryOperation for a given query object and maximal number of objects to return.