public class ObjectIntVectorL2 extends ObjectIntVector
ObjectIntVector
with an L2 (Euclidean) metric distance.LocalAbstractObject.DataEqualObject, LocalAbstractObject.TextStreamFactory<T extends LocalAbstractObject>, LocalAbstractObject.TrivialDistanceFunction
data
counterDistanceComputations, counterLowerBoundDistanceComputations, counterPrecomputedDistanceSavings, counterUpperBoundDistanceComputations, MAX_DISTANCE, MIN_DISTANCE, suppData, trivialDistanceFunction, UNKNOWN_DISTANCE
Modifier | Constructor and Description |
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protected |
ObjectIntVectorL2(BinaryInput input,
BinarySerializator serializator)
Creates a new instance of ObjectIntVector loaded from binary input buffer.
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ObjectIntVectorL2(java.io.BufferedReader stream)
Creates a new instance of ObjectIntVectorL2 from text stream.
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ObjectIntVectorL2(int dimension)
Creates a new instance of ObjectIntVectorL2 with randomly generated content data.
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ObjectIntVectorL2(int[] data)
Creates a new instance of ObjectIntVectorL2.
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ObjectIntVectorL2(int dimension,
int min,
int max)
Creates a new instance of ObjectIntVectorL2 with randomly generated content data.
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Modifier and Type | Method and Description |
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protected float |
getDistanceImpl(LocalAbstractObject obj,
float distThreshold)
The actual implementation of the metric function (see
LocalAbstractObject.getDistance(messif.objects.LocalAbstractObject) for full explanation). |
binarySerialize, cloneRandomlyModify, dataEquals, dataHashCode, getBinarySize, getDimensionality, getMinMaxForEveryCoord, getMinMaxOverCoords, getMinMaxOverCoords, getSize, getVectorData, getVectorDataDimension, getVectorDataItem, getVectorDataItemInt, parseIntVector, randomData, toString, writeData, writeIntVector
clearSurplusData, clone, clone, create, create, createMetaDistancesHolder, excludeUsingPrecompDist, getDistance, getDistance, getDistance, getDistanceFilter, getDistanceFilter, getDistanceFilter, getDistanceFilter, getDistanceLowerBound, getDistanceLowerBoundImpl, getDistanceStorePrecomputed, getDistanceStorePrecomputed, getDistanceStorePrecomputed, getDistanceUpperBound, getDistanceUpperBoundImpl, getFieldsForNames, getMaxDistance, getNormDistance, getPrecomputedDistance, getPrecomputedDistance, getRandomChar, getRandomNormal, chainDestroy, chainFilter, includeUsingPrecompDist, isDistanceCompatible, parseObjectComment, peekNextChar, readAttributesFromStream, readObjectComments, readObjectCommentsWithoutData, unchainFilter, write, write, writeAttributesToStream, writeObjectComment
clone, getLocatorURI, getNoDataObject, getObjectKey, getObjectKey, getObjectLocatorURI, setObjectKey
public ObjectIntVectorL2(int[] data)
data
- the data content of the new objectpublic ObjectIntVectorL2(int dimension)
dimension
- number of dimensions to generatepublic ObjectIntVectorL2(int dimension, int min, int max)
dimension
- number of dimensions to generatemin
- lower bound of the random generated values (inclusive)max
- upper bound of the random generated values (exclusive)public ObjectIntVectorL2(java.io.BufferedReader stream) throws java.io.EOFException, java.io.IOException, java.lang.NumberFormatException
stream
- the stream from which to read lines of textjava.io.EOFException
- if the end-of-file of the given stream is reachedjava.io.IOException
- if there was an I/O error during reading from the streamjava.lang.NumberFormatException
- if a line read from the stream does not consist of comma-separated or space-separated numbersprotected ObjectIntVectorL2(BinaryInput input, BinarySerializator serializator) throws java.io.IOException
input
- the buffer to read the ObjectIntVector fromserializator
- the serializator used to write objectsjava.io.IOException
- if there was an I/O error reading from the bufferprotected float getDistanceImpl(LocalAbstractObject obj, float distThreshold)
LocalAbstractObject
LocalAbstractObject.getDistance(messif.objects.LocalAbstractObject)
for full explanation).
The implementation should not increment distanceComputations statistics.getDistanceImpl
in class LocalAbstractObject
obj
- the object to compute distance todistThreshold
- the threshold value on the distance