## Uses of Classde.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier

• Packages that use AbstractNeighborhoodOutlier
Package Description
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial
Spatial outlier detection algorithms
• ### Uses of AbstractNeighborhoodOutlier in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

Modifier and Type Class and Description
class  AbstractDistanceBasedSpatialOutlier<N,O>
Abstract base class for distance-based spatial outlier detection methods.
class  CTLuMeanMultipleAttributes<N,O extends NumberVector>
Mean Approach is used to discover spatial outliers with multiple attributes.
class  CTLuMedianAlgorithm<N>
Median Algorithm of C.
class  CTLuMedianMultipleAttributes<N,O extends NumberVector>
Median Approach is used to discover spatial outliers with multiple attributes.
class  CTLuMoranScatterplotOutlier<N>
Moran scatterplot outliers, based on the standardized deviation from the local and global means.
class  CTLuScatterplotOutlier<N>
Scatterplot-outlier is a spatial outlier detection method that performs a linear regression of object attributes and their neighbors average value.
class  CTLuZTestOutlier<N>
Detect outliers by comparing their attribute value to the mean and standard deviation of their neighborhood.
class  SLOM<N,O>
SLOM: a new measure for local spatial outliers Reference: S.
class  SOF<N,O>
The Spatial Outlier Factor (SOF) is a spatial LOF variation.
class  TrimmedMeanApproach<N>
A Trimmed Mean Approach to Finding Spatial Outliers.