D
- the type of distance the used distance function will returnN
- the type of spatial nodes in the spatial indexE
- the type of spatial entries in the spatial index@Title(value="Spatial Approximation Materialize kNN Preprocessor") @Description(value="Caterializes the (approximate) k nearest neighbors of objects of a database using a spatial approximation.") public class SpatialApproximationMaterializeKNNPreprocessor<O extends NumberVector<?>,D extends Distance<D>,N extends SpatialNode<N,E>,E extends SpatialEntry> extends AbstractMaterializeKNNPreprocessor<O,D,KNNList<D>>
LOF
.
TODO correct handling of datastore eventsModifier and Type | Class and Description |
---|---|
static class |
SpatialApproximationMaterializeKNNPreprocessor.Factory<D extends Distance<D>,N extends SpatialNode<N,E>,E extends SpatialEntry>
The actual preprocessor instance.
|
Modifier and Type | Field and Description |
---|---|
private static Logging |
LOG
Logger to use
|
distanceFunction, distanceQuery, k
storage
relation
Constructor and Description |
---|
SpatialApproximationMaterializeKNNPreprocessor(Relation<O> relation,
DistanceFunction<? super O,D> distanceFunction,
int k)
Constructor
|
Modifier and Type | Method and Description |
---|---|
protected Logging |
getLogger()
Get the classes static logger.
|
String |
getLongName()
A "pretty" name for the result, for use in titles, captions and menus.
|
String |
getShortName()
A short name for the result, useful for file names.
|
void |
logStatistics()
Send statistics to the logger, if enabled.
|
protected void |
preprocess()
Perform the preprocessing step.
|
createStorage, get, getDistanceFactory, getDistanceQuery, getK, getKNNQuery, initialize
private static final Logging LOG
public SpatialApproximationMaterializeKNNPreprocessor(Relation<O> relation, DistanceFunction<? super O,D> distanceFunction, int k)
relation
- Relation to preprocessdistanceFunction
- the distance function to usek
- query kprotected void preprocess()
AbstractMaterializeKNNPreprocessor
preprocess
in class AbstractMaterializeKNNPreprocessor<O extends NumberVector<?>,D extends Distance<D>,KNNList<D extends Distance<D>>>
protected Logging getLogger()
AbstractPreprocessorIndex
getLogger
in class AbstractPreprocessorIndex<O extends NumberVector<?>,KNNList<D extends Distance<D>>>
public String getLongName()
Result
getLongName
in interface Result
getLongName
in class AbstractIndex<O extends NumberVector<?>>
public String getShortName()
Result
getShortName
in interface Result
getShortName
in class AbstractIndex<O extends NumberVector<?>>
public void logStatistics()
Index