de.lmu.ifi.dbs.elki.algorithm.outlier.spatial
Class CTLuMeanMultipleAttributes<N,O extends NumberVector<?,?>>

java.lang.Object
  extended by de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<OutlierResult>
      extended by de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier<N>
          extended by de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMeanMultipleAttributes<N,O>
Type Parameters:
N - Spatial Vector
O - Attribute Vector
All Implemented Interfaces:
Algorithm, OutlierAlgorithm, InspectionUtilFrequentlyScanned, Parameterizable

@Reference(authors="Chang-Tien Lu and Dechang Chen and Yufeng Kou",
           title="Detecting Spatial Outliers with Multiple Attributes",
           booktitle="Proc. 15th IEEE International Conference on Tools with Artificial Intelligence, 2003",
           url="http://dx.doi.org/10.1109/TAI.2003.1250179")
public class CTLuMeanMultipleAttributes<N,O extends NumberVector<?,?>>
extends AbstractNeighborhoodOutlier<N>

Mean Approach is used to discover spatial outliers with multiple attributes.

Reference:
Chang-Tien Lu and Dechang Chen and Yufeng Kou:
Detecting Spatial Outliers with Multiple Attributes
in 15th IEEE International Conference on Tools with Artificial Intelligence, 2003

Implementation note: attribute standardization is not used; this is equivalent to using the AttributeWiseVarianceNormalization filter.


Nested Class Summary
static class CTLuMeanMultipleAttributes.Parameterizer<N,O extends NumberVector<?,?>>
          Parameterization class.
 
Field Summary
static Logging logger
          logger
 
Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier
NEIGHBORHOOD_ID
 
Constructor Summary
CTLuMeanMultipleAttributes(NeighborSetPredicate.Factory<N> npredf)
          Constructor
 
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(Relation<N> spatial, Relation<O> attributes)
           
 
Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier
getNeighborSetPredicateFactory
 
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

public static final Logging logger
logger

Constructor Detail

CTLuMeanMultipleAttributes

public CTLuMeanMultipleAttributes(NeighborSetPredicate.Factory<N> npredf)
Constructor

Parameters:
npredf - Neighborhood predicate
Method Detail

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

run

public OutlierResult run(Relation<N> spatial,
                         Relation<O> attributes)

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

Release 0.4.0 (2011-09-20_1324)