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java.lang.Object de.lmu.ifi.dbs.elki.index.tree.AbstractLeafEntry de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry<D> de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry<D>
class MkCoPLeafEntry<D extends NumberDistance<D,?>>
Represents an entry in a leaf node of a MkCoP-Tree. Additionally to an MTreeLeafEntry an MkCoPLeafEntry holds the conservative and progressive approximation of its knn-distances.
Field Summary | |
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private ApproximationLine |
conservativeApproximation
The conservative approximation. |
private ApproximationLine |
progressiveApproximation
The progressive approximation. |
private static long |
serialVersionUID
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Constructor Summary | |
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MkCoPLeafEntry()
Empty constructor for serialization purposes. |
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MkCoPLeafEntry(DBID objectID,
D parentDistance,
ApproximationLine conservativeApproximation,
ApproximationLine progressiveApproximation)
Provides a new MkCoPLeafEntry with the given parameters. |
Method Summary | ||
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approximateConservativeKnnDistance(int k,
DistanceQuery<O,D> distanceFunction)
Returns the conservative approximated knn distance of the entry. |
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approximateProgressiveKnnDistance(int k,
DistanceQuery<O,D> distanceFunction)
Returns the progressive approximated knn distance of the entry. |
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boolean |
equals(Object o)
Indicates whether some other object is "equal to" this one. |
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ApproximationLine |
getConservativeKnnDistanceApproximation()
Returns the conservative approximation line. |
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ApproximationLine |
getProgressiveKnnDistanceApproximation()
Returns the progressive approximation line. |
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void |
readExternal(ObjectInput in)
Calls the super method and reads the the conservative and progressive approximation of the knn distances of this entry from the specified input stream. |
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void |
setConservativeKnnDistanceApproximation(ApproximationLine conservativeApproximation)
Sets the conservative approximation line |
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void |
setProgressiveKnnDistanceApproximation(ApproximationLine progressiveApproximation)
Sets the progressive approximation line |
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String |
toString()
Returns a string representation of this entry. |
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void |
writeExternal(ObjectOutput out)
Calls the super method and writes the conservative and progressive approximation of the knn distances of this entry to the specified stream. |
Methods inherited from class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry |
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getCoveringRadius, getParentDistance, getRoutingObjectID, setCoveringRadius, setParentDistance, setRoutingObjectID |
Methods inherited from class de.lmu.ifi.dbs.elki.index.tree.AbstractLeafEntry |
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getDBID, hashCode, isLeafEntry |
Methods inherited from class java.lang.Object |
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clone, finalize, getClass, notify, notifyAll, wait, wait, wait |
Methods inherited from interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeEntry |
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getCoveringRadius, getParentDistance, getRoutingObjectID, setCoveringRadius, setParentDistance, setRoutingObjectID |
Methods inherited from interface de.lmu.ifi.dbs.elki.index.tree.Entry |
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isLeafEntry |
Field Detail |
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private static final long serialVersionUID
private ApproximationLine conservativeApproximation
private ApproximationLine progressiveApproximation
Constructor Detail |
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public MkCoPLeafEntry()
public MkCoPLeafEntry(DBID objectID, D parentDistance, ApproximationLine conservativeApproximation, ApproximationLine progressiveApproximation)
objectID
- the id of the underlying data objectparentDistance
- the distance from the underlying data object to its
parent's routing objectconservativeApproximation
- the conservative approximation of the knn
distancesprogressiveApproximation
- the progressive approximation of the knn
distancesMethod Detail |
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public <O> D approximateConservativeKnnDistance(int k, DistanceQuery<O,D> distanceFunction)
approximateConservativeKnnDistance
in interface MkCoPEntry<D extends NumberDistance<D,?>>
O
- Object typek
- the parameter k of the knn distancedistanceFunction
- the distance function
public <O> D approximateProgressiveKnnDistance(int k, DistanceQuery<O,D> distanceFunction)
O
- Object typek
- the parameter k of the knn distancedistanceFunction
- the distance function
public ApproximationLine getConservativeKnnDistanceApproximation()
getConservativeKnnDistanceApproximation
in interface MkCoPEntry<D extends NumberDistance<D,?>>
public ApproximationLine getProgressiveKnnDistanceApproximation()
public void setConservativeKnnDistanceApproximation(ApproximationLine conservativeApproximation)
setConservativeKnnDistanceApproximation
in interface MkCoPEntry<D extends NumberDistance<D,?>>
conservativeApproximation
- the conservative approximation line to be
setpublic void setProgressiveKnnDistanceApproximation(ApproximationLine progressiveApproximation)
progressiveApproximation
- the progressive approximation line to be
setpublic void writeExternal(ObjectOutput out) throws IOException
writeExternal
in interface Externalizable
writeExternal
in class MTreeLeafEntry<D extends NumberDistance<D,?>>
out
- the stream to write the object to
IOException
- Includes any I/O exceptions that may occurpublic void readExternal(ObjectInput in) throws IOException, ClassNotFoundException
readExternal
in interface Externalizable
readExternal
in class MTreeLeafEntry<D extends NumberDistance<D,?>>
in
- the stream to read data from in order to restore the object
IOException
- if I/O errors occur
ClassNotFoundException
- If the class for an object being restored
cannot be found.public boolean equals(Object o)
equals
in class MTreeLeafEntry<D extends NumberDistance<D,?>>
o
- the object to be tested
public String toString()
toString
in class AbstractLeafEntry
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