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

Spatial outlier detection algorithms

See: Description

Class Summary

Class	Description
AbstractDistanceBasedSpatialOutlier<N,O>	Abstract base class for distance-based spatial outlier detection methods.
AbstractDistanceBasedSpatialOutlier.Parameterizer<N,O>	Parameterization class.
AbstractNeighborhoodOutlier<O>	Abstract base class for spatial outlier detection methods using a spatial neighborhood.
AbstractNeighborhoodOutlier.Parameterizer<O>	Parameterization class.
CTLuGLSBackwardSearchAlgorithm<V extends NumberVector>	GLS-Backward Search is a statistical approach to detecting spatial outliers.
CTLuGLSBackwardSearchAlgorithm.Parameterizer<V extends NumberVector>	Parameterization class
CTLuMeanMultipleAttributes<N,O extends NumberVector>	Mean Approach is used to discover spatial outliers with multiple attributes.
CTLuMeanMultipleAttributes.Parameterizer<N,O extends NumberVector>	Parameterization class.
CTLuMedianAlgorithm<N>	Median Algorithm of C.
CTLuMedianAlgorithm.Parameterizer<N>	Parameterization class.
CTLuMedianMultipleAttributes<N,O extends NumberVector>	Median Approach is used to discover spatial outliers with multiple attributes.
CTLuMedianMultipleAttributes.Parameterizer<N,O extends NumberVector>	Parameterization class.
CTLuMoranScatterplotOutlier<N>	Moran scatterplot outliers, based on the standardized deviation from the local and global means.
CTLuMoranScatterplotOutlier.Parameterizer<N>	Parameterization class.
CTLuRandomWalkEC<P>	Spatial outlier detection based on random walks.
CTLuRandomWalkEC.Parameterizer<N>	Parameterization class.
CTLuScatterplotOutlier<N>	Scatterplot-outlier is a spatial outlier detection method that performs a linear regression of object attributes and their neighbors average value.
CTLuScatterplotOutlier.Parameterizer<N>	Parameterization class.
CTLuZTestOutlier<N>	Detect outliers by comparing their attribute value to the mean and standard deviation of their neighborhood.
CTLuZTestOutlier.Parameterizer<N>	Parameterization class.
SLOM<N,O>	SLOM: a new measure for local spatial outliers Reference: Sanjay Chawla and Pei Sun SLOM: a new measure for local spatial outliers in Knowledge and Information Systems 9(4), 412-429, 2006 This implementation works around some corner cases in SLOM, in particular when an object has none or a single neighbor only (albeit the results will still not be too useful then), which will result in divisions by zero.
SLOM.Parameterizer<N,O>	Parameterization class.
SOF<N,O>	The Spatial Outlier Factor (SOF) is a spatial LOF variation.
SOF.Parameterizer<N,O>	Parameterization class
TrimmedMeanApproach<N>	A Trimmed Mean Approach to Finding Spatial Outliers.
TrimmedMeanApproach.Parameterizer<N>	Parameterizer.

Package de.lmu.ifi.dbs.elki.algorithm.outlier.spatial Description

Spatial outlier detection algorithms