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

Class SimpleKernelDensityLOF<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.SimpleKernelDensityLOF<O,D>

Type Parameters:

O - the type of objects handled by this Algorithm

D - Distance type

All Implemented Interfaces:

Algorithm, OutlierAlgorithm, InspectionUtilFrequentlyScanned, Parameterizable

public class SimpleKernelDensityLOF<O extends NumberVector<?>,D extends NumberDistance<D,?>>
extends AbstractDistanceBasedAlgorithm<O,D,OutlierResult>
implements OutlierAlgorithm

A simple variant of the LOF algorithm, which uses a simple kernel density estimation instead of the local reachability density.

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field and Description
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
SimpleKernelDensityLOF(int k, DistanceFunction<? super O,D> distance, KernelDensityFunction kernel) 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.

kernel

private KernelDensityFunction kernel

Kernel density function

Constructor Detail

SimpleKernelDensityLOF

public SimpleKernelDensityLOF(int k,
                      DistanceFunction<? super O,D> distance,
                      KernelDensityFunction kernel)

Constructor.

Parameters:

k - the value of k

kernel - Kernel function

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