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

Packages that use de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

Package	Description
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial	Spatial outlier detection algorithms

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial used by de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

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