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.utilities.optionhandling.AbstractParameterizable
          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>

All Implemented Interfaces:

Database<O>, Loggable, Parameterizable

public class MetricalIndexDatabase<O extends DatabaseObject,D extends Distance<D>,N extends MetricalNode<N,E>,E extends MTreeEntry<D>>
extends IndexDatabase<O>

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 ClassParameter<MetricalIndex>	INDEX_PARAM Parameter to specify the metrical index to use.

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

listenerList

Fields inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

optionHandler

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

debug

Constructor Summary

MetricalIndexDatabase()

Method Summary

<D extends Distance<D>> List<List<QueryResult<D>>>	bulkKNNQueryForID(List<Integer> ids, int k, DistanceFunction<O,D> distanceFunction) Performs k-nearest neighbor queries for the given object IDs.
String	description() Returns a short description of the database.
MetricalIndex<O,D,N,E>	getIndex() Returns the index of this database.
void	insert(List<ObjectAndAssociations<O>> objectsAndAssociationsList) Calls the super method and afterwards inserts the specified objects into the underlying index structure.
Integer	insert(ObjectAndAssociations<O> objectAndAssociations) Calls the super method and afterwards inserts the specified object into the underlying index structure.
<T extends Distance<T>> List<QueryResult<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<QueryResult<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<QueryResult<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<QueryResult<T>>	reverseKNNQuery(Integer id, int k, DistanceFunction<O,T> distanceFunction) Performs a reverse k-nearest neighbor query for the given object ID.
String[]	setParameters(String[] args) Sets the values for the parameter bulk.
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, getObjects, isSet, isSetForAllObjects, isSetGlobally, iterator, partition, partition, randomSample, removeDatabaseListener, restoreID, setAssociations, setNewID, size

Methods inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

addOption, checkGlobalParameterConstraints, deleteOption, description, description, getAttributeSettings, getParameters, getParameterValue, getPossibleOptions, inlineDescription, isSet, setParameters

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

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

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable

checkGlobalParameterConstraints, getAttributeSettings, getParameters, getPossibleOptions, inlineDescription

Field Detail

INDEX_ID

public static final OptionID INDEX_ID

OptionID for INDEX_PARAM

INDEX_PARAM

private final ClassParameter<MetricalIndex> 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.

Constructor Detail

MetricalIndexDatabase

public MetricalIndexDatabase()

Method Detail

insert

public Integer insert(ObjectAndAssociations<O> 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

See Also:

Database.insert(ObjectAndAssociations)

insert

public void insert(List<ObjectAndAssociations<O>> 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

See Also:

Database.insert(java.util.List)

rangeQuery

public <T extends Distance<T>> List<QueryResult<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 in ascending order to the distance to the query object.

Parameters:

id - the ID of the query object

epsilon - the string representation of the query range

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

Returns:

a List of the query results

See Also:

Database.rangeQuery(Integer,String,de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction)

kNNQueryForObject

public <T extends Distance<T>> List<QueryResult<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 in ascending order to the distance to the query object.

Parameters:

queryObject - the query object

k - the number of nearest neighbors to be returned

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

Returns:

a List of the query results

See Also:

Database.kNNQueryForObject(DatabaseObject,int,de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction)

kNNQueryForID

public <T extends Distance<T>> List<QueryResult<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 in ascending order to the distance to the query object.

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 beween the objects

Returns:

a List of the query results

See Also:

Database.kNNQueryForID(Integer,int, de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction)

bulkKNNQueryForID

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

Description copied from interface: Database

Performs k-nearest neighbor queries for the given object IDs. The query result is in ascending order to the distance to the query object.

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 beween the objects

Returns:

a List of List of the query results

See Also:

Database.bulkKNNQueryForID(java.util.List,int,de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction)

reverseKNNQuery

public <T extends Distance<T>> List<QueryResult<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 in ascending order to the distance to the query object.

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 beween the objects

Returns:

a List of the query results

See Also:

Database.reverseKNNQuery(Integer,int, de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction)

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

setParameters

public String[] setParameters(String[] args)
                       throws ParameterException

Sets the values for the parameter bulk. If the parameters is not specified the default value is set.

Specified by:

setParameters in interface Parameterizable

Overrides:

setParameters in class AbstractParameterizable

Parameters:

args - parameters to set the attributes accordingly to

Returns:

String[] an array containing the unused parameters

Throws:

ParameterException - in case of wrong parameter-setting

See Also:

Parameterizable.setParameters(String[])

description

public String description()

Returns a short description of the database. (Such as: efficiency in space and time, index structure...)

Specified by:

description in interface Database<O extends DatabaseObject>

Specified by:

description in interface Parameterizable

Overrides:

description in class AbstractParameterizable

Returns:

a description of the database

See Also:

Parameterizable.description()