Package | Description |
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org.openimaj.knn.pq |
Modifier and Type | Field and Description |
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protected IntProductQuantiser |
IntADCNearestNeighbours.pq |
protected IntProductQuantiser |
IncrementalIntADCNearestNeighbours.pq |
Modifier and Type | Method and Description |
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static IntProductQuantiser |
IntProductQuantiserUtilities.train(int[][] data,
int numAssigners,
int nIter)
Learn a
IntProductQuantiser by applying exact K-Means to
sub-vectors extracted from the given data. |
static IntProductQuantiser |
IntProductQuantiserUtilities.train(int[][] data,
int numAssigners,
int K,
int nIter)
Learn a
IntProductQuantiser by applying exact K-Means to
sub-vectors extracted from the given data. |
Constructor and Description |
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IncrementalIntADCNearestNeighbours(IntProductQuantiser pq,
DataSource<int[]> dataPoints)
Construct the ADC with the given quantiser and data points.
|
IncrementalIntADCNearestNeighbours(IntProductQuantiser pq,
int ndims)
Construct an empty ADC with the given quantiser.
|
IncrementalIntADCNearestNeighbours(IntProductQuantiser pq,
int[][] dataPoints)
Construct the ADC with the given quantiser and data points.
|
IncrementalIntADCNearestNeighbours(IntProductQuantiser pq,
int ndims,
int nitems)
Construct an empty ADC with the given quantiser.
|
IncrementalIntADCNearestNeighbours(IntProductQuantiser pq,
List<int[]> dataPoints)
Construct the ADC with the given quantiser and data points.
|
IntADCNearestNeighbours(IntProductQuantiser pq,
byte[][] pqData,
int ndims)
Construct the ADC with the given quantiser and pre-quantised data .
|
IntADCNearestNeighbours(IntProductQuantiser pq,
int[][] dataPoints)
Construct the ADC with the given quantiser and data points.
|
IntSDCNearestNeighbours(IntProductQuantiser pq,
int[][][] pqCentroids,
int[][] dataPoints)
Construct the SDC with the given quantiser, centroids (corresponding to
the quantiser's internal assigners), and data.
|