HilOut.HilFeature (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

java.lang.Object
- elki.outlier.distance.HilOut.HilFeature

All Implemented Interfaces:

java.lang.Comparable<HilOut.HilFeature>

Enclosing class:

HilOut<O extends NumberVector>
```
static final class HilOut.HilFeature
extends java.lang.Object
implements java.lang.Comparable<HilOut.HilFeature>
```
Hilbert representation of a single object. Details of this representation are discussed in the main HilOut publication, see "point features".

Author:

Jonathan von Brünken

Field Summary

Fields
Modifier and Type	Field	Description
`long[]`	`hilbert`	Hilbert representation TODO: use byte[] to save some memory, but slower?
`DBID`	`id`	Object ID
`double`	`lbound`	Lower bound of object
`int`	`level`	Object level
`ObjectHeap<DoubleDBIDPair>`	`nn`	Heap with the nearest known neighbors
`HashSetModifiableDBIDs`	`nn_keys`	Set representation of the nearest neighbors for faster lookups
`double`	`sum_nn`	Current weight (sum of nn distances)
`double`	`ubound`	Upper bound for object

Constructor Summary

Constructors
Constructor Description

HilFeature(DBID id, ObjectHeap<DoubleDBIDPair> nn)
Constructor.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`int`	`compareTo(HilOut.HilFeature o)`
`protected void`	`insert(DBID id, double dt, int k)`	insert function inserts a nearest neighbor into a features nn list and its distance

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

- Field Detail
  - id
```
public DBID id
```
    Object ID
  - hilbert
```
public long[] hilbert
```
    Hilbert representation TODO: use byte[] to save some memory, but slower?
  - level
```
public int level
```
    Object level
  - ubound
```
public double ubound
```
    Upper bound for object
  - lbound
```
public double lbound
```
    Lower bound of object
  - nn
```
public ObjectHeap<DoubleDBIDPair> nn
```
    Heap with the nearest known neighbors
  - nn_keys
```
public HashSetModifiableDBIDs nn_keys
```
    Set representation of the nearest neighbors for faster lookups
  - sum_nn
```
public double sum_nn
```
    Current weight (sum of nn distances)
- Constructor Detail
  - HilFeature
```
public HilFeature(DBID id,
                  ObjectHeap<DoubleDBIDPair> nn)
```
    Constructor.
    
    Parameters:
    
    id - Object ID
    
    nn - Heap for neighbors
- Method Detail
  - compareTo
```
public int compareTo(HilOut.HilFeature o)
```
    Specified by:
    
    compareTo in interface java.lang.Comparable<HilOut.HilFeature>
  - insert
```
protected void insert(DBID id,
                      double dt,
                      int k)
```
    insert function inserts a nearest neighbor into a features nn list and its distance
    
    Parameters:
    
    id - DBID of the nearest neighbor
    
    dt - distance or the neighbor to the features position
    
    k - K