| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.outlier.spatial |
Spatial outlier detection algorithms
|
| 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:
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. |
| SOF
The Spatial Outlier Factor (SOF) is a spatial
LOF variation. |
| TrimmedMeanApproach
A Trimmed Mean Approach to Finding Spatial Outliers.
|