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distance functions and similarity functions.
See:
Description
| Interface Summary | |
|---|---|
| Distance<D extends Distance<D>> | The interface Distance defines the requirements of any instance class. |
| MeasurementFunction<O extends DatabaseObject,D extends Distance<D>> | Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects. |
| PreprocessorBasedMeasurementFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>> | Describes the requirements of any measurement function (e.g. distance function or similarity function) needing a preprocessor running on a database. |
| Class Summary | |
|---|---|
| AbstractDistance<D extends AbstractDistance<D>> | An abstract distance implements equals conveniently for any extending class. |
| AbstractMeasurementFunction<O extends DatabaseObject,D extends Distance<D>> | Abstract implementation of interface MeasurementFunction that
provides some methods valid for any extending class. |
| BitDistance | Provides a Distance for a bit-valued distance. |
| CorrelationDistance<D extends CorrelationDistance<D>> | The correlation distance is a special Distance that indicates the dissimilarity between correlation connected objects. |
| DistanceUtil | Class with distance related utility functions. |
| DoubleDistance | Provides a Distance for a double-valued distance. |
| FloatDistance | Provides a Distance for a float-valued distance. |
| IntegerDistance | Provides an integer distance value. |
| NumberDistance<D extends NumberDistance<D,N>,N extends Number> | Provides a Distance for a number-valued distance. |
| PreferenceVectorBasedCorrelationDistance | A PreferenceVectorBasedCorrelationDistance holds additionally to the CorrelationDistance the common preference vector of the two objects defining the distance. |
| SubspaceDistance | The subspace distance is a special distance that indicates the dissimilarity between subspaces of equal dimensionality. |
Distances and (in subpackages) distance functions and similarity functions.
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