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| Packages that use NearestNeighbourSearch | |
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| weka.classifiers.lazy | |
| weka.core.neighboursearch | |
| Uses of NearestNeighbourSearch in weka.classifiers.lazy |
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| Methods in weka.classifiers.lazy that return NearestNeighbourSearch | |
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NearestNeighbourSearch |
LWL.getNearestNeighbourSearchAlgorithm()
Returns the current nearestNeighbourSearch algorithm in use. |
NearestNeighbourSearch |
IBk.getNearestNeighbourSearchAlgorithm()
Returns the current nearestNeighbourSearch algorithm in use. |
| Methods in weka.classifiers.lazy with parameters of type NearestNeighbourSearch | |
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void |
LWL.setNearestNeighbourSearchAlgorithm(NearestNeighbourSearch nearestNeighbourSearchAlgorithm)
Sets the nearestNeighbourSearch algorithm to be used for finding nearest neighbour(s). |
void |
IBk.setNearestNeighbourSearchAlgorithm(NearestNeighbourSearch nearestNeighbourSearchAlgorithm)
Sets the nearestNeighbourSearch algorithm to be used for finding nearest neighbour(s). |
| Uses of NearestNeighbourSearch in weka.core.neighboursearch |
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| Subclasses of NearestNeighbourSearch in weka.core.neighboursearch | |
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class |
BallTree
Class implementing the BallTree/Metric Tree algorithm for nearest neighbour search. The connection to dataset is only a reference. |
class |
CoverTree
Class implementing the CoverTree datastructure. The class is very much a translation of the c source code made available by the authors. For more information and original source code see: Alina Beygelzimer, Sham Kakade, John Langford: Cover trees for nearest neighbor. |
class |
KDTree
Class implementing the KDTree search algorithm for nearest neighbour search. The connection to dataset is only a reference. |
class |
LinearNNSearch
Class implementing the brute force search algorithm for nearest neighbour search. |
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