
@Title(value="OutRank: ranking outliers in high dimensional data") @Description(value="Ranking outliers in high dimensional data - score 1") @Reference(authors="Emmanuel M\u00fcller, Ira Assent, Uwe Steinhausen, Thomas Seidl", title="OutRank: ranking outliers in high dimensional data", booktitle="Proc. 24th Int. Conf. on Data Engineering (ICDE) Workshop on Ranking in Databases (DBRank), Cancun, Mexico", url="http://dx.doi.org/10.1109/ICDEW.2008.4498387") public class OutRankS1 extends AbstractAlgorithm<OutlierResult> implements OutlierAlgorithm
Emmanuel Müller, Ira Assent, Uwe Steinhausen, Thomas Seidl
OutRank: ranking outliers in high dimensional data
In Proceedings 24th International Conference on Data Engineering (ICDE)
Workshop on Ranking in Databases (DBRank), Cancun, Mexico
| Modifier and Type | Class and Description |
|---|---|
static class |
OutRankS1.Parameterizer
Parameterization class.
|
| Modifier and Type | Field and Description |
|---|---|
(package private) double |
alpha
Weighting parameter of size vs. dimensionality score.
|
protected SubspaceClusteringAlgorithm<? extends SubspaceModel<?>> |
clusteralg
Clustering algorithm to run.
|
private static Logging |
LOG
The logger for this class.
|
| Constructor and Description |
|---|
OutRankS1(SubspaceClusteringAlgorithm<? extends SubspaceModel<?>> clusteralg,
double alpha)
Constructor.
|
| 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(Database database)
Runs the algorithm.
|
makeParameterDistanceFunctionprivate static final Logging LOG
protected SubspaceClusteringAlgorithm<? extends SubspaceModel<?>> clusteralg
double alpha
public OutRankS1(SubspaceClusteringAlgorithm<? extends SubspaceModel<?>> clusteralg, double alpha)
clusteralg - Clustering algorithm to use (must implement
SubspaceClusteringAlgorithm!)alpha - Alpha parameter to balance size and dimensionality.public OutlierResult run(Database database)
Algorithmrun in interface Algorithmrun in interface OutlierAlgorithmrun in class AbstractAlgorithm<OutlierResult>database - the database to run the algorithm onpublic TypeInformation[] getInputTypeRestriction()
AbstractAlgorithmgetInputTypeRestriction in interface AlgorithmgetInputTypeRestriction in class AbstractAlgorithm<OutlierResult>protected Logging getLogger()
AbstractAlgorithmgetLogger in class AbstractAlgorithm<OutlierResult>