de.lmu.ifi.dbs.elki.algorithm.outlier

Class LDF<O extends NumberVector<?>,D extends NumberDistance<D,?>>

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<R>

de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm<O,D,OutlierResult>

de.lmu.ifi.dbs.elki.algorithm.outlier.LDF<O,D>

Type Parameters:

O - the type of objects handled by this Algorithm

D - Distance type

All Implemented Interfaces:

Algorithm, OutlierAlgorithm, InspectionUtilFrequentlyScanned, Parameterizable

@Reference(authors="L. J. Latecki, A. Lazarevic, D. Pokrajac",
           title="Outlier Detection with Kernel Density Functions",
           booktitle="Machine Learning and Data Mining in Pattern Recognition",
           url="http://dx.doi.org/10.1007/978-3-540-73499-4_6")
public class LDF<O extends NumberVector<?>,D extends NumberDistance<D,?>>
extends AbstractDistanceBasedAlgorithm<O,D,OutlierResult>
implements OutlierAlgorithm

Outlier Detection with Kernel Density Functions. A variation of LOF which uses kernel density estimation, but in contrast to SimpleKernelDensityLOF also uses the reachability concept of LOF. Reference:

Outlier Detection with Kernel Density Functions.
L. J. Latecki, A. Lazarevic, D. Pokrajac
Machine Learning and Data Mining in Pattern Recognition 2007

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	LDF.Parameterizer<O extends NumberVector<?>,D extends NumberDistance<D,?>> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
protected double	c Scaling constant, to limit value range to 1/c
protected double	h Bandwidth scaling factor.
protected int	k Parameter k.
private KernelDensityFunction	kernel Kernel density function
private static Logging	LOG The logger for this class.

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm

DISTANCE_FUNCTION_ID

Constructor Summary

Constructors

Constructor and Description
LDF(int k, DistanceFunction<? super O,D> distance, KernelDensityFunction kernel, double h, double c) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
TypeInformation[]	getInputTypeRestriction() Get the input type restriction used for negotiating the data query.
protected Logging	getLogger() Get the (STATIC) logger for this class.
OutlierResult	run(Relation<O> relation) Run the naive kernel density LOF algorithm.

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm

getDistanceFunction

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

makeParameterDistanceFunction, run

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface de.lmu.ifi.dbs.elki.algorithm.outlier.OutlierAlgorithm

run

Field Detail

LOG

private static final Logging LOG

The logger for this class.

k

protected int k

Parameter k.

h

protected double h

Bandwidth scaling factor.

c

protected double c

Scaling constant, to limit value range to 1/c

kernel

private KernelDensityFunction kernel

Kernel density function

Constructor Detail

LDF

public LDF(int k,
   DistanceFunction<? super O,D> distance,
   KernelDensityFunction kernel,
   double h,
   double c)

Constructor.

Parameters:

k - the value of k

kernel - Kernel function

h - Kernel bandwidth scaling

c - Score scaling parameter

Method Detail

run

public OutlierResult run(Relation<O> relation)

Run the naive kernel density LOF algorithm.

Parameters:

relation - Data to process

Returns:

LOF outlier result

getInputTypeRestriction

public TypeInformation[] getInputTypeRestriction()

Description copied from class: AbstractAlgorithm

Get the input type restriction used for negotiating the data query.

Specified by:

getInputTypeRestriction in interface Algorithm

Specified by:

getInputTypeRestriction in class AbstractAlgorithm<OutlierResult>

Returns:

Type restriction

getLogger

protected Logging getLogger()

Description copied from class: AbstractAlgorithm

Get the (STATIC) logger for this class.

Specified by:

getLogger in class AbstractAlgorithm<OutlierResult>

Returns:

the static logger