Package | Description |
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gov.sandia.cognition.learning.algorithm.nearest |
Provides algorithms for Nearest-Neighbor memory-based functions.
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Class and Description |
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AbstractKNearestNeighbor
Partial implementation of KNearestNeighbor.
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AbstractNearestNeighbor
Partial implementation of KNearestNeighbor.
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KNearestNeighbor
A generic k-nearest-neighbor classifier.
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KNearestNeighborExhaustive
A generic k-nearest-neighbor classifier.
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KNearestNeighborExhaustive.Neighbor
Holds neighbor information used during the evaluate method and is put
into a priority queue.
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KNearestNeighborKDTree
A KDTree-based implementation of the k-nearest neighbor algorithm.
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NearestNeighbor
The
NearestNeighborExhaustive class implements a simple evaluator
that looks up a given input object in a collection of input-output pair
examples and returns the output associated with the most similar input. |
NearestNeighborExhaustive
The
NearestNeighborExhaustive class implements a simple evaluator
that looks up a given input object in a collection of input-output pair
examples and returns the output associated with the most similar input. |
NearestNeighborKDTree
A KDTree-based implementation of the nearest neighbor algorithm.
|