de.lmu.ifi.dbs.elki.database
Class MetricalIndexDatabase<O extends DatabaseObject,D extends Distance<D>,N extends MetricalNode<N,E>,E extends MTreeEntry<D>>

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.database.AbstractDatabase<O>
          de.lmu.ifi.dbs.elki.database.IndexDatabase<O>
              de.lmu.ifi.dbs.elki.database.MetricalIndexDatabase<O,D,N,E>

Type Parameters:

O - the type of FeatureVector as element of the database

D - Distance type

N - Node type

E - Entry type

All Implemented Interfaces:

Database<O>, Result, Parameterizable, Iterable<Integer>

@Description(value="Database using a metrical index")
public class MetricalIndexDatabase<O extends DatabaseObject,D extends Distance<D>,N extends MetricalNode<N,E>,E extends MTreeEntry<D>>
extends IndexDatabase<O>
implements Parameterizable

MetricalIndexDatabase is a database implementation which is supported by a metrical index structure.

Author:

Elke Achtert

Field Summary

(package private) MetricalIndex<O,D,N,E>	index The metrical index storing the data.
static OptionID	INDEX_ID OptionID for INDEX_PARAM
private ObjectParameter<MetricalIndex<O,D,N,E>>	INDEX_PARAM Parameter to specify the metrical index to use.
private Collection<Pair<OptionID,Object>>	params Store own parameters, for partitioning.

Fields inherited from class de.lmu.ifi.dbs.elki.database.AbstractDatabase

listenerList

Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debug, logger

Constructor Summary

MetricalIndexDatabase(Parameterization config)
Constructor, adhering to Parameterizable

Method Summary

<T extends Distance<T>> List<List<DistanceResultPair<T>>>	bulkKNNQueryForID(List<Integer> ids, int k, DistanceFunction<O,T> distanceFunction) Performs k-nearest neighbor queries for the given object IDs.
MetricalIndex<O,D,N,E>	getIndex() Returns the index of this database.
protected Collection<Pair<OptionID,Object>>	getParameters()
void	insert(List<Pair<O,Associations>> objectsAndAssociationsList) Calls the super method and afterwards inserts the specified objects into the underlying index structure.
Integer	insert(Pair<O,Associations> objectAndAssociations) Calls the super method and afterwards inserts the specified object into the underlying index structure.
<T extends Distance<T>> List<DistanceResultPair<T>>	kNNQueryForID(Integer id, int k, DistanceFunction<O,T> distanceFunction) Performs a k-nearest neighbor query for the given object ID.
<T extends Distance<T>> List<DistanceResultPair<T>>	kNNQueryForObject(O queryObject, int k, DistanceFunction<O,T> distanceFunction) Performs a k-nearest neighbor query for the given object.
<T extends Distance<T>> List<DistanceResultPair<T>>	rangeQuery(Integer id, String epsilon, DistanceFunction<O,T> distanceFunction) Performs a range query for the given object ID with the given epsilon range and the according distance function.
<T extends Distance<T>> List<DistanceResultPair<T>>	rangeQuery(Integer id, T epsilon, DistanceFunction<O,T> distanceFunction) Performs a range query for the given object ID with the given epsilon range and the according distance function.
<T extends Distance<T>> List<DistanceResultPair<T>>	reverseKNNQuery(Integer id, int k, DistanceFunction<O,T> distanceFunction) Performs a reverse k-nearest neighbor query for the given object ID.
String	toString() Returns a string representation of this database.

Methods inherited from class de.lmu.ifi.dbs.elki.database.IndexDatabase

delete, delete, getLogicalPageAccess, getPhysicalReadAccess, getPhysicalWriteReadAccess, resetPageAccess

Methods inherited from class de.lmu.ifi.dbs.elki.database.AbstractDatabase

addDatabaseListener, associate, associateGlobally, deleteAssociations, dimensionality, fireObjectInserted, fireObjectRemoved, fireObjectsChanged, fireObjectsInserted, fireObjectsRemoved, get, getAssociation, getAssociations, getGlobalAssociation, getIDs, getName, getObjects, isSet, isSetForAllObjects, isSetGlobally, iterator, partition, partition, partition, randomSample, removeDatabaseListener, restoreID, setAssociations, setNewID, size

Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debugFine, debugFiner, debugFinest, exception, progress, verbose, warning

Methods inherited from class java.lang.Object

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

Field Detail

INDEX_ID

public static final OptionID INDEX_ID

OptionID for INDEX_PARAM

INDEX_PARAM

private final ObjectParameter<MetricalIndex<O extends DatabaseObject,D extends Distance<D>,N extends MetricalNode<N,E>,E extends MTreeEntry<D>>> INDEX_PARAM

Parameter to specify the metrical index to use.

Key: -metricalindexdb.index

index

MetricalIndex<O extends DatabaseObject,D extends Distance<D>,N extends MetricalNode<N,E>,E extends MTreeEntry<D>> index

The metrical index storing the data.

params

private Collection<Pair<OptionID,Object>> params

Store own parameters, for partitioning.

Constructor Detail

MetricalIndexDatabase

public MetricalIndexDatabase(Parameterization config)

Constructor, adhering to Parameterizable

Parameters:

config - Parameterization

Method Detail

insert

public Integer insert(Pair<O,Associations> objectAndAssociations)
               throws UnableToComplyException

Calls the super method and afterwards inserts the specified object into the underlying index structure.

Specified by:

insert in interface Database<O extends DatabaseObject>

Overrides:

insert in class AbstractDatabase<O extends DatabaseObject>

Parameters:

objectAndAssociations - the object and its associations to be inserted

Returns:

the ID assigned to the inserted object

Throws:

UnableToComplyException - if database reached limit of storage capacity

insert

public void insert(List<Pair<O,Associations>> objectsAndAssociationsList)
            throws UnableToComplyException

Calls the super method and afterwards inserts the specified objects into the underlying index structure. If the option bulk load is enabled and the index structure is empty, a bulk load will be performed. Otherwise the objects will be inserted sequentially.

Specified by:

insert in interface Database<O extends DatabaseObject>

Overrides:

insert in class AbstractDatabase<O extends DatabaseObject>

Parameters:

objectsAndAssociationsList - the list of objects and their associations to be inserted

Throws:

UnableToComplyException - if initialization is not possible

rangeQuery

public <T extends Distance<T>> List<DistanceResultPair<T>> rangeQuery(Integer id,
                                                                      String epsilon,
                                                                      DistanceFunction<O,T> distanceFunction)

Description copied from interface: Database

Performs a range query for the given object ID with the given epsilon range and the according distance function.

The query result is sorted in ascending order w.r.t. the distance to the query object.

Specified by:

rangeQuery in interface Database<O extends DatabaseObject>

Type Parameters:

T - distance type

Parameters:

id - the ID of the query object

epsilon - the string representation of the query range

distanceFunction - the distance function that computes the distances between the objects

Returns:

a List of the query results

rangeQuery

public <T extends Distance<T>> List<DistanceResultPair<T>> rangeQuery(Integer id,
                                                                      T epsilon,
                                                                      DistanceFunction<O,T> distanceFunction)

Description copied from interface: Database

Performs a range query for the given object ID with the given epsilon range and the according distance function.

The query result is sorted in ascending order w.r.t. the distance to the query object.

Specified by:

rangeQuery in interface Database<O extends DatabaseObject>

Type Parameters:

T - distance type

Parameters:

id - the ID of the query object

epsilon - the string representation of the query range

distanceFunction - the distance function that computes the distances between the objects

Returns:

a List of the query results

kNNQueryForObject

public <T extends Distance<T>> List<DistanceResultPair<T>> kNNQueryForObject(O queryObject,
                                                                             int k,
                                                                             DistanceFunction<O,T> distanceFunction)

Description copied from interface: Database

Performs a k-nearest neighbor query for the given object.

The query result is sorted in ascending order w.r.t. the distance to the query object.

The general contract for the result of kNN queries in ELKI is that the resulting list contains exactly k nearest neighbors including the query object if it is an element of this database. Generally, ties will be resolved by the order of objects in the database. Any implementing method should inform about the exact policy of resolving ties.

Generally, it is assumed that the database does not contain less than k objects.

Specified by:

kNNQueryForObject in interface Database<O extends DatabaseObject>

Type Parameters:

T - distance type

Parameters:

queryObject - the query object

k - the number of nearest neighbors to be returned

distanceFunction - the distance function that computes the distances between the objects

Returns:

a List of the query results

kNNQueryForID

public <T extends Distance<T>> List<DistanceResultPair<T>> kNNQueryForID(Integer id,
                                                                         int k,
                                                                         DistanceFunction<O,T> distanceFunction)

Description copied from interface: Database

Performs a k-nearest neighbor query for the given object ID.

The query result is sorted in ascending order w.r.t. the distance to the query object.

The general contract for the result of kNN queries in ELKI is that the resulting list contains exactly k nearest neighbors including the query object. Generally, ties will be resolved by the order of objects in the database. Any implementing method should inform about the exact policy of resolving ties.

Generally, it is assumed that the database does not contain less than k objects.

Specified by:

kNNQueryForID in interface Database<O extends DatabaseObject>

Type Parameters:

T - distance type

Parameters:

id - the ID of the query object

k - the number of nearest neighbors to be returned

distanceFunction - the distance function that computes the distances between the objects

Returns:

a List of the query results

bulkKNNQueryForID

public <T extends Distance<T>> List<List<DistanceResultPair<T>>> bulkKNNQueryForID(List<Integer> ids,
                                                                                   int k,
                                                                                   DistanceFunction<O,T> distanceFunction)

Description copied from interface: Database

Performs k-nearest neighbor queries for the given object IDs.

The query result is sorted in ascending order w.r.t. the distance to the query object.

The general contract for the result of kNN queries in ELKI is that the resulting lists contain exactly k nearest neighbors including the query objects. Generally, ties will be resolved by the order of objects in the database. Any implementing method should inform about the exact policy of resolving ties.

Generally, it is assumed that the database does not contain less than k objects.

Specified by:

bulkKNNQueryForID in interface Database<O extends DatabaseObject>

Type Parameters:

T - distance type

Parameters:

ids - the IDs of the query objects

k - the number of nearest neighbors to be returned

distanceFunction - the distance function that computes the distances between the objects

Returns:

a List of List of the query results

reverseKNNQuery

public <T extends Distance<T>> List<DistanceResultPair<T>> reverseKNNQuery(Integer id,
                                                                           int k,
                                                                           DistanceFunction<O,T> distanceFunction)

Description copied from interface: Database

Performs a reverse k-nearest neighbor query for the given object ID.

The query result is sorted in ascending order w.r.t. the distance to the query object.

Generally, it is assumed that the database does not contain less than k objects.

Specified by:

reverseKNNQuery in interface Database<O extends DatabaseObject>

Type Parameters:

T - distance type

Parameters:

id - the ID of the query object

k - the size of k-nearest neighborhood of any database object o to contain a database object in order to include o in the result list

distanceFunction - the distance function that computes the distances between the objects

Returns:

a List of the query results

toString

public String toString()

Returns a string representation of this database.

Overrides:

toString in class Object

Returns:

a string representation of this database.

getIndex

public MetricalIndex<O,D,N,E> getIndex()

Returns the index of this database.

Specified by:

getIndex in class IndexDatabase<O extends DatabaseObject>

Returns:

the index of this database

getParameters

protected Collection<Pair<OptionID,Object>> getParameters()

Specified by:

getParameters in class AbstractDatabase<O extends DatabaseObject>