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

Class AggarwalYuEvolutionary<V extends NumberVector<?,?>>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier<V>

de.lmu.ifi.dbs.elki.algorithm.outlier.AggarwalYuEvolutionary<V>

Type Parameters:

V - the type of FeatureVector handled by this Algorithm

All Implemented Interfaces:

Algorithm, OutlierAlgorithm, InspectionUtilFrequentlyScanned, Parameterizable

@Title(value="EAFOD: the evolutionary outlier detection algorithm")
@Description(value="Outlier detection for high dimensional data")
@Reference(authors="C.C. Aggarwal, P. S. Yu",
           title="Outlier detection for high dimensional data",
           booktitle="Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD 2001), Santa Barbara, CA, 2001",
           url="http://dx.doi.org/10.1145/375663.375668")
public class AggarwalYuEvolutionary<V extends NumberVector<?,?>>
extends AbstractAggarwalYuOutlier<V>

EAFOD provides the evolutionary outlier detection algorithm, an algorithm to detect outliers for high dimensional data.

Reference:
Outlier detection for high dimensional data
C.C. Aggarwal, P. S. Yu
Proceedings of the 2001 ACM SIGMOD international conference on Management of data 2001, Santa Barbara, California, United States

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
private class	AggarwalYuEvolutionary.EvolutionarySearch The inner class to handle the actual evolutionary computation.
private static class	AggarwalYuEvolutionary.Individuum Individuum for the evolutionary search.
static class	AggarwalYuEvolutionary.Parameterizer<V extends NumberVector<?,?>> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
protected static Logging	logger The logger for this class.
private int	m Holds the value of M_ID.
static OptionID	M_ID Parameter to specify the number of solutions must be an integer greater than 1.
protected int	MAX_ITERATIONS Maximum iteration count for evolutionary search.
private Long	seed Holds the value of SEED_ID.
static OptionID	SEED_ID Parameter to specify the random generator seed.

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier

DONT_CARE, k, K_ID, phi, PHI_ID

Constructor Summary

Constructors

Constructor and Description
AggarwalYuEvolutionary(int k, int phi, int m, Long seed) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
protected Logging	getLogger() Get the (STATIC) logger for this class.
OutlierResult	run(Database database, Relation<V> relation) Performs the evolutionary algorithm on the given database.

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier

buildRanges, computeSubspace, computeSubspaceForGene, getInputTypeRestriction, sparsity

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

logger

protected static final Logging logger

The logger for this class.

M_ID

public static final OptionID M_ID

Parameter to specify the number of solutions must be an integer greater than 1.

Key: -eafod.m

SEED_ID

public static final OptionID SEED_ID

Parameter to specify the random generator seed.

MAX_ITERATIONS

protected final int MAX_ITERATIONS

Maximum iteration count for evolutionary search.

See Also:

Constant Field Values

m

private int m

Holds the value of M_ID.

seed

private Long seed

Holds the value of SEED_ID.

Constructor Detail

AggarwalYuEvolutionary

public AggarwalYuEvolutionary(int k,
                      int phi,
                      int m,
                      Long seed)

Constructor.

Parameters:

k - K

phi - Phi

m - M

seed - Seed

Method Detail

run

public OutlierResult run(Database database,
                Relation<V> relation)

Performs the evolutionary algorithm on the given database.

Parameters:

database - Database

relation - Relation

Returns:

Result

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