| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.meta |
Meta outlier detection algorithms: external scores, score rescaling.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.spatial |
Spatial outlier detection algorithms
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.trivial |
Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
|
| Class and Description |
|---|
| ABOD
Angle-Based Outlier Detection
Outlier detection using variance analysis on angles, especially for high
dimensional data sets.
|
| AbstractAggarwalYuOutlier
Abstract base class for the sparse-grid-cell based outlier detection of
Aggarwal and Yu.
|
| AbstractAggarwalYuOutlier.Parameterizer
Parameterization class.
|
| AbstractDBOutlier
Simple distance based outlier detection algorithms.
|
| AbstractDBOutlier.Parameterizer
Parameterization class.
|
| AggarwalYuEvolutionary
EAFOD provides the evolutionary outlier detection algorithm, an algorithm to
detect outliers for high dimensional data.
|
| AggarwalYuEvolutionary.Individuum
Individuum for the evolutionary search.
|
| AggarwalYuNaive
BruteForce provides a naive brute force algorithm in which all k-subsets of
dimensions are examined and calculates the sparsity coefficient to find
outliers.
|
| DBOutlierDetection
Simple distanced based outlier detection algorithm.
|
| DBOutlierScore
Compute percentage of neighbors in the given neighborhood with size d.
|
| EMOutlier
outlier detection algorithm using EM Clustering.
|
| GaussianModel
Outlier have smallest GMOD_PROB: the outlier scores is the
probability density of the assumed distribution.
|
| GaussianUniformMixture
Outlier detection algorithm using a mixture model approach.
|
| INFLO
INFLO provides the Mining Algorithms (Two-way Search Method) for Influence
Outliers using Symmetric Relationship
Reference:
Jin, W., Tung, A., Han, J., and Wang, W. 2006 Ranking outliers using symmetric neighborhood relationship In Proc. |
| KNNOutlier
Outlier Detection based on the distance of an object to its k nearest
neighbor.
|
| KNNWeightOutlier
Outlier Detection based on the accumulated distances of a point to its k
nearest neighbors.
|
| LDOF
Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a
Database.
|
| LOCI
Fast Outlier Detection Using the "Local Correlation Integral".
|
| LOF
Algorithm to compute density-based local outlier factors in a database based
on a specified parameter
LOF.K_ID (-lof.k). |
| LOF.LOFResult
Encapsulates information like the neighborhood, the LRD and LOF values of
the objects during a run of the
LOF algorithm. |
| LoOP
LoOP: Local Outlier Probabilities
Distance/density based algorithm similar to LOF to detect outliers, but with
statistical methods to achieve better result stability.
|
| OnlineLOF
Incremental version of the
LOF Algorithm, supports insertions and
removals. |
| OPTICSOF
OPTICSOF provides the Optics-of algorithm, an algorithm to find Local
Outliers in a database.
|
| OutlierAlgorithm
Generic super interface for outlier detection algorithms.
|
| ReferenceBasedOutlierDetection
provides the Reference-Based Outlier Detection algorithm, an algorithm that
computes kNN distances approximately, using reference points.
|
| SOD |
| SOD.SODModel |
| Class and Description |
|---|
| OutlierAlgorithm
Generic super interface for outlier detection algorithms.
|
| Class and Description |
|---|
| OutlierAlgorithm
Generic super interface for outlier detection algorithms.
|
| Class and Description |
|---|
| OutlierAlgorithm
Generic super interface for outlier detection algorithms.
|