com.chemaxon.descriptors.common.unguarded.impl.calc.binarylong

Class BinaryLongManhattanNormalized

java.lang.Object

com.chemaxon.descriptors.common.unguarded.impl.calc.binarylong.BinaryLongManhattanNormalized

All Implemented Interfaces:

UnguardedDissimilarityCalculator<long[]>, Serializable

public class BinaryLongManhattanNormalized
extends Object
implements UnguardedDissimilarityCalculator<long[]>, Serializable

Unguarded normalized Manhattan comparator for binary fingerprints represented as long [].

Use with extreme care! This implementation wont check vector length equality.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BinaryLongManhattanNormalized(int bitCount) Construct.

Method Summary

Modifier and Type	Method and Description
double	denormalize(double dissimilarity) Calculate raw value for a normalized dissimilarity value.
double	dissimilarity(long[] target, long[] query) Compare dissimilarity of two objects.
double	normalize(double rawValue) Normalize dissimilarity value returned by UnguardedDissimilarityCalculator.dissimilarity(java.lang.Object, java.lang.Object).
String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

BinaryLongManhattanNormalized

public BinaryLongManhattanNormalized(int bitCount)

Construct.

Parameters:

bitCount - Fingerprint length in bits

Method Detail

dissimilarity

public double dissimilarity(long[] target,
                            long[] query)

Description copied from interface: UnguardedDissimilarityCalculator

Compare dissimilarity of two objects. Raw dissimilarity score is returned which

Note that implementations might not check even basic consistency of compared objects.

Implementations must return valid real numbers which are smaller than Double.MAX_VALUE.

Specified by:

dissimilarity in interface UnguardedDissimilarityCalculator<long[]>

Parameters:

target - Target to compare

query - Query to compare

Returns:

Raw score. Lower score represents more similar object

toString

public String toString()

Overrides:

toString in class Object

normalize

public double normalize(double rawValue)

Description copied from interface: UnguardedDissimilarityCalculator

Normalize dissimilarity value returned by UnguardedDissimilarityCalculator.dissimilarity(java.lang.Object, java.lang.Object).

Specified by:

normalize in interface UnguardedDissimilarityCalculator<long[]>

Parameters:

rawValue - Raw dissimilarity value

Returns:

Normalized value

denormalize

public double denormalize(double dissimilarity)

Description copied from interface: UnguardedDissimilarityCalculator

Calculate raw value for a normalized dissimilarity value. This function can be used where a cutoff defined in terms of dissimilarity is implemented.

Specified by:

denormalize in interface UnguardedDissimilarityCalculator<long[]>

Parameters:

dissimilarity - Normalized dissimilarity value

Returns:

Raw value