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K

kdIndex - Variable in class elki.database.query.EmpiricalQueryOptimizer

k-d-tree index class.

kNNByDBID() - Method in class elki.database.query.QueryBuilder

Build a k-nearest-neighbors query; if possible also give a maximum k.

kNNByDBID(int) - Method in class elki.database.query.QueryBuilder

Build a k-nearest-neighbors query.

kNNByDBID(Relation<? extends O>, DistanceQuery<O>, int, int) - Method in class elki.database.query.EmpiricalQueryOptimizer

kNNByDBID(Relation<? extends O>, DistanceQuery<O>, int, int) - Method in interface elki.database.query.QueryOptimizer

Optimize a kNN query for this relation.

kNNByObject() - Method in class elki.database.query.QueryBuilder

Build a k-nearest-neighbors query; if possible also give a maximum k.

kNNByObject(int) - Method in class elki.database.query.QueryBuilder

Build a k-nearest-neighbors query.

kNNByObject(Relation<? extends O>, DistanceQuery<O>, int, int) - Method in class elki.database.query.EmpiricalQueryOptimizer

kNNByObject(Relation<? extends O>, DistanceQuery<O>, int, int) - Method in interface elki.database.query.QueryOptimizer

Optimize a kNN query for this relation.

knnIndex - Variable in class elki.database.query.EmpiricalQueryOptimizer

kNN preprocessor class.

knnQuery - Variable in class elki.database.query.rknn.LinearScanRKNNByDBID

KNN query we use.

knnQuery - Variable in class elki.database.query.rknn.LinearScanRKNNByObject

KNN query we use.

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