Package org.openimaj.knn.pq

Class Summary

Class	Description
ByteADCNearestNeighbours	Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
ByteProductQuantiser	Implementation of a Product Quantiser for vectors/arrays of bytes.
ByteProductQuantiserUtilities	Utility methods for easily creating a ByteProductQuantiser using (Exact) K-Means.
ByteSDCNearestNeighbours	Nearest-neighbours using Symmetric Distance Computation (SDC) on Product Quantised vectors.
DoubleADCNearestNeighbours	Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
DoubleProductQuantiser	Implementation of a Product Quantiser for vectors/arrays of doubles.
DoubleProductQuantiserUtilities	Utility methods for easily creating a ByteProductQuantiser using (Exact) K-Means.
DoubleSDCNearestNeighbours	Nearest-neighbours using Symmetric Distance Computation (SDC) on Product Quantised vectors.
FloatADCNearestNeighbours	Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
FloatProductQuantiser	Implementation of a Product Quantiser for vectors/arrays of floats.
FloatProductQuantiserUtilities	Utility methods for easily creating a ByteProductQuantiser using (Exact) K-Means.
FloatSDCNearestNeighbours	Nearest-neighbours using Symmetric Distance Computation (SDC) on Product Quantised vectors.
IncrementalByteADCNearestNeighbours	Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
IncrementalDoubleADCNearestNeighbours	Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
IncrementalFloatADCNearestNeighbours	Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
IncrementalIntADCNearestNeighbours	Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
IncrementalLongADCNearestNeighbours	Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
IncrementalShortADCNearestNeighbours	Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
IntADCNearestNeighbours	Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
IntProductQuantiser	Implementation of a Product Quantiser for vectors/arrays of ints.
IntProductQuantiserUtilities	Utility methods for easily creating a ByteProductQuantiser using (Exact) K-Means.
IntSDCNearestNeighbours	Nearest-neighbours using Symmetric Distance Computation (SDC) on Product Quantised vectors.
LongADCNearestNeighbours	Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
LongProductQuantiser	Implementation of a Product Quantiser for vectors/arrays of longs.
LongProductQuantiserUtilities	Utility methods for easily creating a ByteProductQuantiser using (Exact) K-Means.
LongSDCNearestNeighbours	Nearest-neighbours using Symmetric Distance Computation (SDC) on Product Quantised vectors.
ShortADCNearestNeighbours	Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
ShortProductQuantiser	Implementation of a Product Quantiser for vectors/arrays of shorts.
ShortProductQuantiserUtilities	Utility methods for easily creating a ByteProductQuantiser using (Exact) K-Means.
ShortSDCNearestNeighbours	Nearest-neighbours using Symmetric Distance Computation (SDC) on Product Quantised vectors.