de.lmu.ifi.dbs.elki.database.query.knn

Class PreprocessorKNNQuery<O,D extends Distance<D>>

java.lang.Object

de.lmu.ifi.dbs.elki.database.query.AbstractDataBasedQuery<O>

de.lmu.ifi.dbs.elki.database.query.knn.PreprocessorKNNQuery<O,D>

All Implemented Interfaces:

DatabaseQuery, KNNQuery<O,D>

public class PreprocessorKNNQuery<O,D extends Distance<D>>
extends AbstractDataBasedQuery<O>
implements KNNQuery<O,D>

Instance for a particular database, invoking the preprocessor.

Field Summary

Fields

Modifier and Type	Field and Description
private MaterializeKNNPreprocessor<O,D>	preprocessor The last preprocessor result
private boolean	warned Warn only once.

Fields inherited from class de.lmu.ifi.dbs.elki.database.query.AbstractDataBasedQuery

relation

Fields inherited from interface de.lmu.ifi.dbs.elki.database.query.DatabaseQuery

HINT_BULK, HINT_EXACT, HINT_HEAVY_USE, HINT_NO_CACHE, HINT_OPTIMIZED_ONLY, HINT_SINGLE

Constructor Summary

Constructors

Constructor and Description
PreprocessorKNNQuery(Relation<O> database, MaterializeKNNPreprocessor.Factory<O,D> preprocessor) Constructor.
PreprocessorKNNQuery(Relation<O> database, MaterializeKNNPreprocessor<O,D> preprocessor) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
D	getDistanceFactory() Get the distance data type of the function.
DistanceQuery<O,D>	getDistanceQuery() Get the distance query for this function.
List<List<DistanceResultPair<D>>>	getKNNForBulkDBIDs(ArrayDBIDs ids, int k) Bulk query method
void	getKNNForBulkHeaps(Map<DBID,KNNHeap<D>> heaps) Bulk query method configured by a map.
List<DistanceResultPair<D>>	getKNNForDBID(DBID id, int k) Get the k nearest neighbors for a particular id.
List<DistanceResultPair<D>>	getKNNForObject(O obj, int k) Get the k nearest neighbors for a particular id.
AbstractMaterializeKNNPreprocessor<O,D>	getPreprocessor() Get the preprocessor instance.

Methods inherited from class de.lmu.ifi.dbs.elki.database.query.AbstractDataBasedQuery

getRelation

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface de.lmu.ifi.dbs.elki.database.query.knn.KNNQuery

getRelation

Field Detail

preprocessor

private final MaterializeKNNPreprocessor<O,D extends Distance<D>> preprocessor

The last preprocessor result

warned

private boolean warned

Warn only once.

Constructor Detail

PreprocessorKNNQuery

public PreprocessorKNNQuery(Relation<O> database,
                    MaterializeKNNPreprocessor<O,D> preprocessor)

Constructor.

Parameters:

database - Database to query

preprocessor - Preprocessor instance to use

PreprocessorKNNQuery

public PreprocessorKNNQuery(Relation<O> database,
                    MaterializeKNNPreprocessor.Factory<O,D> preprocessor)

Constructor.

Parameters:

database - Database to query

preprocessor - Preprocessor to use

Method Detail

getKNNForDBID

public List<DistanceResultPair<D>> getKNNForDBID(DBID id,
                                        int k)

Description copied from interface: KNNQuery

Get the k nearest neighbors for a particular id.

Specified by:

getKNNForDBID in interface KNNQuery<O,D extends Distance<D>>

Parameters:

id - query object ID

k - Number of neighbors requested

Returns:

neighbors

getKNNForBulkDBIDs

public List<List<DistanceResultPair<D>>> getKNNForBulkDBIDs(ArrayDBIDs ids,
                                                   int k)

Description copied from interface: KNNQuery

Bulk query method

Specified by:

getKNNForBulkDBIDs in interface KNNQuery<O,D extends Distance<D>>

Parameters:

ids - query object IDs

k - Number of neighbors requested

Returns:

neighbors

getKNNForBulkHeaps

public void getKNNForBulkHeaps(Map<DBID,KNNHeap<D>> heaps)

Description copied from interface: KNNQuery

Bulk query method configured by a map. Warning: this API is not optimal, and might be removed soon (in fact, it is used in a single place)

Specified by:

getKNNForBulkHeaps in interface KNNQuery<O,D extends Distance<D>>

Parameters:

heaps - Map of heaps to fill.

getKNNForObject

public List<DistanceResultPair<D>> getKNNForObject(O obj,
                                          int k)

Description copied from interface: KNNQuery

Get the k nearest neighbors for a particular id.

Specified by:

getKNNForObject in interface KNNQuery<O,D extends Distance<D>>

Parameters:

obj - Query object

k - Number of neighbors requested

Returns:

neighbors

getPreprocessor

public AbstractMaterializeKNNPreprocessor<O,D> getPreprocessor()

Get the preprocessor instance.

Returns:

preprocessor instance

getDistanceFactory

public D getDistanceFactory()

Description copied from interface: KNNQuery

Get the distance data type of the function.

Specified by:

getDistanceFactory in interface KNNQuery<O,D extends Distance<D>>

getDistanceQuery

public DistanceQuery<O,D> getDistanceQuery()

Description copied from interface: KNNQuery

Get the distance query for this function.

Specified by:

getDistanceQuery in interface KNNQuery<O,D extends Distance<D>>