java.lang.Object
- net.imglib2.neighborsearch.KNearestNeighborSearchOnIterableRealInterval<T>

All Implemented Interfaces:

EuclideanSpace, KNearestNeighborSearch<T>, NearestNeighborSearch<T>
```
public class KNearestNeighborSearchOnIterableRealInterval<T>
extends java.lang.Object
implements KNearestNeighborSearch<T>
```
k-nearest-neighbor search on IterableRealInterval implemented as linear search.

Field Summary

Fields
Modifier and Type	Field	Description
`protected RealCursor<T>[]`	`elements`
`protected IterableRealInterval<T>`	`iterable`
`protected int`	`k`
`protected int`	`n`
`protected double[]`	`referenceLocation`
`protected double[]`	`squareDistances`

Constructor Summary

Constructors
Constructor Description

KNearestNeighborSearchOnIterableRealInterval(IterableRealInterval<T> iterable, int k)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`KNearestNeighborSearchOnIterableRealInterval<T>`	`copy()`	Create a copy.
`double`	`getDistance()`	Access the Euclidean distance between the reference location as used for the last search and the nearest neighbor, ordered by square Euclidean distance.
`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()`	Access the position of the nearest neighbor, ordered by square Euclidean distance.
`RealLocalizable`	`getPosition(int i)`	Access the position of the i^th nearest neighbor, ordered by square Euclidean distance.
`Sampler<T>`	`getSampler()`	Access the data of the nearest neighbor.
`RealCursor<T>`	`getSampler(int i)`	Access the data of the i^th nearest neighbor, ordered by square Euclidean distance.
`double`	`getSquareDistance()`	Access the square Euclidean distance between the reference location as used for the last search and the 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.
`int`	`numDimensions()`	Gets the space's number of dimensions.
`void`	`search(RealLocalizable reference)`	Perform k-nearest-neighbor search for a reference coordinate.
`protected double`	`squareDistance(RealLocalizable query)`	Calculate the square Euclidean distance of a query location to the location stored in referenceLocation.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - iterable
```
protected final IterableRealInterval<T> iterable
```
  - k
```
protected final int k
```
  - n
```
protected final int n
```
  - elements
```
protected final RealCursor<T>[] elements
```
  - squareDistances
```
protected final double[] squareDistances
```
  - referenceLocation
```
protected final double[] referenceLocation
```
- Constructor Detail
  - KNearestNeighborSearchOnIterableRealInterval
```
public KNearestNeighborSearchOnIterableRealInterval(IterableRealInterval<T> iterable,
                                                    int k)
```
- Method Detail
  - squareDistance
```
protected final double squareDistance(RealLocalizable query)
```
    Calculate the square Euclidean distance of a query location to the location stored in referenceLocation.
  - numDimensions
```
public int numDimensions()
```
    Description copied from interface: EuclideanSpace
    
    Gets the space's number of dimensions.
    
    Specified by:
    
    numDimensions in interface EuclideanSpace
  - getK
```
public int getK()
```
    Description copied from interface: KNearestNeighborSearch
    
    Get the of k nearest neighbor points used in this search
    
    Specified by:
    
    getK in interface KNearestNeighborSearch<T>
    
    Returns:
    
    the number of nearest neighbor points k used for this search
  - search
```
public void search(RealLocalizable reference)
```
    Description copied from interface: KNearestNeighborSearch
    
    Perform k-nearest-neighbor search for a reference coordinate.
    
    Specified by:
    
    search in interface KNearestNeighborSearch<T>
    
    Specified by:
    
    search in interface NearestNeighborSearch<T>
  - getPosition
```
public RealLocalizable getPosition(int i)
```
    Description copied from interface: KNearestNeighborSearch
    
    Access the position of the i^th nearest neighbor, ordered by square Euclidean distance.
    
    Specified by:
    
    getPosition in interface KNearestNeighborSearch<T>
  - getSampler
```
public RealCursor<T> getSampler(int i)
```
    Description copied from interface: KNearestNeighborSearch
    
    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.
    
    Specified by:
    
    getSampler in interface KNearestNeighborSearch<T>
  - getSquareDistance
```
public double getSquareDistance(int i)
```
    Description copied from interface: KNearestNeighborSearch
    
    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.
    
    Specified by:
    
    getSquareDistance in interface KNearestNeighborSearch<T>
  - getDistance
```
public double getDistance(int i)
```
    Description copied from interface: KNearestNeighborSearch
    
    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.
    
    Specified by:
    
    getDistance in interface KNearestNeighborSearch<T>
  - getPosition
```
public RealLocalizable getPosition()
```
    Description copied from interface: NearestNeighborSearch
    
    Access the position of the nearest neighbor, ordered by square Euclidean distance.
    
    Specified by:
    
    getPosition in interface NearestNeighborSearch<T>
  - getSampler
```
public Sampler<T> getSampler()
```
    Description copied from interface: NearestNeighborSearch
    
    Access the data of the nearest neighbor. Data is accessed through a Sampler that guarantees write access if the underlying data set is writable.
    
    Specified by:
    
    getSampler in interface NearestNeighborSearch<T>
  - getSquareDistance
```
public double getSquareDistance()
```
    Description copied from interface: NearestNeighborSearch
    
    Access the square Euclidean distance between the reference location as used for the last search and the nearest neighbor, ordered by square Euclidean distance.
    
    Specified by:
    
    getSquareDistance in interface NearestNeighborSearch<T>
  - getDistance
```
public double getDistance()
```
    Description copied from interface: NearestNeighborSearch
    
    Access the Euclidean distance between the reference location as used for the last search and the nearest neighbor, ordered by square Euclidean distance.
    
    Specified by:
    
    getDistance in interface NearestNeighborSearch<T>
  - copy
```
public KNearestNeighborSearchOnIterableRealInterval<T> copy()
```
    Description copied from interface: KNearestNeighborSearch
    
    Create a copy.
    
    Specified by:
    
    copy in interface KNearestNeighborSearch<T>
    
    Specified by:
    
    copy in interface NearestNeighborSearch<T>

Class KNearestNeighborSearchOnIterableRealInterval<T>

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

iterable

k

n

elements

squareDistances

referenceLocation

Constructor Detail

KNearestNeighborSearchOnIterableRealInterval

Method Detail

squareDistance

numDimensions

getK

search

getPosition

getSampler

getSquareDistance

getDistance

getPosition

getSampler

getSquareDistance

getDistance

copy