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See:
Description
Class Summary | |
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ABOD<V extends NumberVector<V,?>> | Angle-Based Outlier Detection Outlier detection using variance analysis on angles, especially for high dimensional data sets. |
AbstractDBOutlier<O extends DatabaseObject,D extends Distance<D>> | Simple distance based outlier detection algorithms. |
DBOutlierDetection<O extends DatabaseObject,D extends Distance<D>> | Simple distanced based outlier detection algorithm. |
DBOutlierScore<O extends DatabaseObject,D extends Distance<D>> | Compute percentage of neighbors in the given neighborhood with size d. |
EMOutlier<V extends NumberVector<V,?>> | outlier detection algorithm using EM Clustering. |
GaussianModel<V extends NumberVector<V,Double>> | Outlier have smallest GMOD_PROB: the outlier scores is the probability density of the assumed distribution. |
GaussianUniformMixture<V extends NumberVector<V,Double>> | Outlier detection algorithm using a mixture model approach. |
INFLO<O extends DatabaseObject> | 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< br/> In Proc. |
KNNOutlier<O extends DatabaseObject,D extends DoubleDistance> | Outlier Detection based on the distance of an object to its k nearest neighbor. |
KNNWeightOutlier<O extends DatabaseObject,D extends DoubleDistance> | Outlier Detection based on the accumulated distances of a point to its k nearest neighbors. |
LDOF<O extends DatabaseObject> | Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a Database. |
LOCI<O extends DatabaseObject,D extends NumberDistance<D,?>> | Fast Outlier Detection Using the "Local Correlation Integral". |
LOF<O extends DatabaseObject,D extends NumberDistance<D,?>> |
Algorithm to compute density-based local outlier factors in a database based
on a specified parameter LOF.K_ID (-lof.k ). |
LoOP<O extends DatabaseObject> | LoOP: Local Outlier Probabilities Distance/density based algorithm similar to LOF to detect outliers, but with statistical methods to achieve better result stability. |
OPTICSOF<O extends DatabaseObject> | OPTICSOF provides the Optics-of algorithm, an algorithm to find Local Outliers in a database. |
ReferenceBasedOutlierDetection<V extends NumberVector<V,N>,N extends Number> | provides the Reference-Based Outlier Detection algorithm, an algorithm that computes kNN distances approximately, using reference points. |
SOD<V extends NumberVector<V,?>,D extends Distance<D>> | |
SOD.SODModel<O extends NumberVector<O,?>> | |
SOD.SODProxyScoreResult | Proxy class that converts a model result to an actual SOD score result. |
Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm
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