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java.lang.Objectde.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<R>
de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm<O,D,OutlierResult>
de.lmu.ifi.dbs.elki.algorithm.outlier.KNNWeightOutlier<O,D>
O - the type of DatabaseObjects handled by this AlgorithmD - the type of Distance used by this Algorithm@Title(value="KNNWeight outlier detection")
@Description(value="Outlier Detection based on the distances of an object to its k nearest neighbors.")
@Reference(authors="F. Angiulli, C. Pizzuti",
title="Fast Outlier Detection in High Dimensional Spaces",
booktitle="Proc. European Conference on Principles of Knowledge Discovery and Data Mining (PKDD\'02), Helsinki, Finland, 2002",
url="http://dx.doi.org/10.1007/3-540-45681-3_2")
public class KNNWeightOutlier<O,D extends NumberDistance<D,?>>
Outlier Detection based on the accumulated distances of a point to its k nearest neighbors. Based on: F. Angiulli, C. Pizzuti: Fast Outlier Detection in High Dimensional Spaces. In: Proc. European Conference on Principles of Knowledge Discovery and Data Mining (PKDD'02), Helsinki, Finland, 2002.
| Nested Class Summary | |
|---|---|
static class |
KNNWeightOutlier.Parameterizer<O,D extends NumberDistance<D,?>>
Parameterization class. |
| Field Summary | |
|---|---|
private int |
k
Holds the value of K_ID. |
static OptionID |
K_ID
Parameter to specify the k nearest neighbor |
static OptionID |
KNNQUERY_ID
The kNN query used. |
private static Logging |
logger
The logger for this class. |
| Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm |
|---|
DISTANCE_FUNCTION_ID |
| Constructor Summary | |
|---|---|
KNNWeightOutlier(DistanceFunction<? super O,D> distanceFunction,
int k)
Constructor with parameters. |
|
| Method Summary | |
|---|---|
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(Database database,
Relation<O> relation)
Runs the algorithm in the timed evaluation part. |
| 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 |
|---|
private static final Logging logger
public static final OptionID K_ID
public static final OptionID KNNQUERY_ID
private int k
K_ID.
| Constructor Detail |
|---|
public KNNWeightOutlier(DistanceFunction<? super O,D> distanceFunction,
int k)
distanceFunction - Distance functionk - k Parameter| Method Detail |
|---|
public OutlierResult run(Database database,
Relation<O> relation)
public TypeInformation[] getInputTypeRestriction()
AbstractAlgorithm
getInputTypeRestriction in interface AlgorithmgetInputTypeRestriction in class AbstractAlgorithm<OutlierResult>protected Logging getLogger()
AbstractAlgorithm
getLogger in class AbstractAlgorithm<OutlierResult>
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