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java.lang.Objectuk.ac.gla.dcs.renaissance.kqpr.IncrementalKernelEVD<T>
public class IncrementalKernelEVD<T extends KernelVector>
Implementation of the kernel EVD. The product of an EVD can be used by to build a density or a subspace.
Constructor Summary | |
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IncrementalKernelEVD(KernelVectorList<T> vectors)
Creates a new incremental EVD |
Method Summary | |
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void |
add(double alpha,
T u)
Add a new vector to the decomposition, i.e. |
bpiwowar.maths.matrix.DiagonalDoubleMatrix |
getEigenValues()
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KernelVectorList<T> |
getX()
Get the list of vectors |
bpiwowar.maths.matrix.DenseDoubleMatrix2D |
getY()
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bpiwowar.maths.matrix.DenseDoubleMatrix2D |
getZ()
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Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public IncrementalKernelEVD(KernelVectorList<T> vectors)
vectors
- An empty kernel vector listMethod Detail |
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public KernelVectorList<T> getX()
KernelEVD
getX
in interface KernelEVD<T extends KernelVector>
public bpiwowar.maths.matrix.DenseDoubleMatrix2D getY()
getY
in interface KernelEVD<T extends KernelVector>
public bpiwowar.maths.matrix.DenseDoubleMatrix2D getZ()
getZ
in interface KernelEVD<T extends KernelVector>
public bpiwowar.maths.matrix.DiagonalDoubleMatrix getEigenValues()
getEigenValues
in interface KernelEVD<T extends KernelVector>
public void add(double alpha, T u)
KernelEVD
A = A + alpha v v^T
add
in interface KernelEVD<T extends KernelVector>
alpha
- The coefficient for the updateu
- The vector v
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