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Class Summary |
| AbstractOutlierDetection |
Abstract superclass of outlier detection operators. |
| DBOutlierOperator |
This operator is a DB outlier detection algorithm which calculates
the DB(p,D)-outliers for an ExampleSet passed to the operator. |
| DKNOutlierOperator |
This operator performs a D^k_n Outlier Search according to the outlier detection
approach recommended by Ramaswamy, Rastogi and Shim in "Efficient Algorithms for
Mining Outliers from Large Data Sets". |
| KdistanceContainer |
This class represents a container for objects within a given distance from another object. |
| LOFOutlierOperator |
This operator performs a LOF outlier search. |
| SearchObject |
The SearchObject class creates SearchObjects which handle the representation
of objects from the test data set in the core of the outlier operators. |
| SearchSpace |
SearchSpace is a class for building a room full of SearchObjects (see class definition)
and provides various methods to place those objects into the SearchSpace (by associating
those Objects to the list of objects in the SearchSpace) as well as to do
some Outlier Tests on those Objects. |