Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.outlier.spatial |
Spatial outlier detection algorithms
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Class and Description |
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AbstractDistanceBasedSpatialOutlier
Abstract base class for distance-based spatial outlier detection methods.
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AbstractDistanceBasedSpatialOutlier.Parameterizer
Parameterization class.
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AbstractNeighborhoodOutlier
Abstract base class for spatial outlier detection methods using a spatial
neighborhood.
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AbstractNeighborhoodOutlier.Parameterizer
Parameterization class.
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CTLuGLSBackwardSearchAlgorithm
GLS-Backward Search is a statistical approach to detecting spatial outliers.
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CTLuMeanMultipleAttributes
Mean Approach is used to discover spatial outliers with multiple attributes.
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CTLuMedianAlgorithm
Median Algorithm of C.
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CTLuMedianMultipleAttributes
Median Approach is used to discover spatial outliers with multiple
attributes.
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CTLuMoranScatterplotOutlier
Moran scatterplot outliers, based on the standardized deviation from the
local and global means.
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CTLuRandomWalkEC
Spatial outlier detection based on random walks.
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CTLuScatterplotOutlier
Scatterplot-outlier is a spatial outlier detection method that performs a
linear regression of object attributes and their neighbors average value.
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CTLuZTestOutlier
Detect outliers by comparing their attribute value to the mean and standard
deviation of their neighborhood.
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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 2005 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.
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