Package elki.outlier.spatial

Spatial outlier detection algorithms.

Class Summary

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