KNearestNeighborSearch

All Superinterfaces:

EuclideanSpace, NearestNeighborSearch<T>

All Known Implementing Classes:

KNearestNeighborSearchOnIterableRealInterval, KNearestNeighborSearchOnKDTree
```
public interface KNearestNeighborSearch<T>
extends NearestNeighborSearch<T>
```
k-nearest-neighbor search in an Euclidean space. The interface describes implementations that perform the search for a specified location and provide access to the data, location and distance of the found nearest neighbors until the next search is performed. In a multi-threaded application, each thread will thus need its own KNearestNeighborSearch.

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`KNearestNeighborSearch<T>`	`copy()`	Create a copy.
`default double`	`getDistance(int i)`	Access the Euclidean distance between the reference location as used for the last search and the i^th nearest neighbor, ordered by square Euclidean distance.
`int`	`getK()`	Get the of k nearest neighbor points used in this search
`RealLocalizable`	`getPosition(int i)`	Access the position of the i^th nearest neighbor, ordered by square Euclidean distance.
`Sampler<T>`	`getSampler(int i)`	Access the data of the i^th nearest neighbor, ordered by square Euclidean distance.
`double`	`getSquareDistance(int i)`	Access the square Euclidean distance between the reference location as used for the last search and the i^th nearest neighbor, ordered by square Euclidean distance.
`void`	`search(RealLocalizable reference)`	Perform k-nearest-neighbor search for a reference coordinate.

Methods inherited from interface net.imglib2.EuclideanSpace
numDimensions

Methods inherited from interface net.imglib2.neighborsearch.NearestNeighborSearch
getDistance, getPosition, getSampler, getSquareDistance

- Method Detail
  - search
```
void search(RealLocalizable reference)
```
    Perform k-nearest-neighbor search for a reference coordinate.
    
    Specified by:
    
    search in interface NearestNeighborSearch<T>
    
    Parameters:
    
    reference -
  - getK
```
int getK()
```
    Get the of k nearest neighbor points used in this search
    
    Returns:
    
    the number of nearest neighbor points k used for this search
  - getSampler
```
Sampler<T> getSampler(int i)
```
    Access the data of the i^th nearest neighbor, ordered by square Euclidean distance. Data is accessed through a Sampler that guarantees write access if the underlying data set is writable.
  - getPosition
```
RealLocalizable getPosition(int i)
```
    Access the position of the i^th nearest neighbor, ordered by square Euclidean distance.
  - getSquareDistance
```
double getSquareDistance(int i)
```
    Access the square Euclidean distance between the reference location as used for the last search and the i^th nearest neighbor, ordered by square Euclidean distance.
  - getDistance
```
default double getDistance(int i)
```
    Access the Euclidean distance between the reference location as used for the last search and the i^th nearest neighbor, ordered by square Euclidean distance.
  - copy
```
KNearestNeighborSearch<T> copy()
```
    Create a copy.
    
    Specified by:
    
    copy in interface NearestNeighborSearch<T>