| Package | Description |
|---|---|
| gov.sandia.cognition.learning.algorithm.nearest |
Provides algorithms for Nearest-Neighbor memory-based functions.
|
| Class and Description |
|---|
| AbstractKNearestNeighbor
Partial implementation of KNearestNeighbor.
|
| AbstractNearestNeighbor
Partial implementation of KNearestNeighbor.
|
| KNearestNeighbor
A generic k-nearest-neighbor classifier.
|
| KNearestNeighborExhaustive
A generic k-nearest-neighbor classifier.
|
| KNearestNeighborExhaustive.Neighbor
Holds neighbor information used during the evaluate method and is put
into a priority queue.
|
| KNearestNeighborKDTree
A KDTree-based implementation of the k-nearest neighbor algorithm.
|
| 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.
|