SimpleKernelDensityLOF (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

java.lang.Object
- elki.outlier.lof.SimpleKernelDensityLOF<O>

Type Parameters:

O - the type of objects handled by this algorithm

All Implemented Interfaces:

Algorithm, OutlierAlgorithm
```
public class SimpleKernelDensityLOF<O extends NumberVector>
extends java.lang.Object
implements OutlierAlgorithm
```
A simple variant of the LOF algorithm, which uses a simple kernel density estimation instead of the local reachability density.

Since:

0.5.5

Author:

Erich Schubert

Nested Class Summary
- Nested classes/interfaces inherited from interface elki.Algorithm
  Algorithm.Utils

Field Summary

Fields
Modifier and Type	Field	Description
`protected Distance<? super O>`	`distance`	Distance function used.
`protected KernelDensityFunction`	`kernel`	Kernel density function
`protected int`	`kplus`	Number of neighbors + the query point
`private static Logging`	`LOG`	The logger for this class.

Constructor Summary

Constructors
Constructor Description

SimpleKernelDensityLOF(int k, Distance<? super O> distance, KernelDensityFunction kernel)
Constructor.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`TypeInformation[]`	`getInputTypeRestriction()`	Get the input type restriction used for negotiating the data query.
`OutlierResult`	`run(Relation<O> relation)`	Run the naive kernel density LOF algorithm.

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

Methods inherited from interface elki.outlier.OutlierAlgorithm
autorun

- Field Detail
  - LOG
```
private static final Logging LOG
```
    The logger for this class.
  - distance
```
protected Distance<? super O extends NumberVector> distance
```
    Distance function used.
  - kplus
```
protected int kplus
```
    Number of neighbors + the query point
  - kernel
```
protected KernelDensityFunction kernel
```
    Kernel density function
- Constructor Detail
  - SimpleKernelDensityLOF
```
public SimpleKernelDensityLOF(int k,
                              Distance<? super O> distance,
                              KernelDensityFunction kernel)
```
    Constructor.
    
    Parameters:
    
    k - number of neighbors
    
    kernel - Kernel function
- Method Detail
  - getInputTypeRestriction
```
public TypeInformation[] getInputTypeRestriction()
```
    Description copied from interface: Algorithm
    
    Get the input type restriction used for negotiating the data query.
    
    Specified by:
    
    getInputTypeRestriction in interface Algorithm
    
    Returns:
    
    Type restriction
  - run
```
public OutlierResult run(Relation<O> relation)
```
    Run the naive kernel density LOF algorithm.
    
    Parameters:
    
    relation - Data to process
    
    Returns:
    
    LOF outlier result