Uses of Class
ch.akuhn.matrix.eigenvalues.Eigenvalues

Packages that use Eigenvalues

Package	Description
ch.akuhn.matrix.eigenvalues
org.openimaj.ml.clustering.spectral

Uses of Eigenvalues in ch.akuhn.matrix.eigenvalues

Subclasses of Eigenvalues in ch.akuhn.matrix.eigenvalues

Modifier and Type	Class and Description
class	AllEigenvalues Finds all eigenvalues of a matrix.
class	FewEigenvalues Finds a few eigenvalues of a matrix.

Methods in ch.akuhn.matrix.eigenvalues that return Eigenvalues

Modifier and Type	Method and Description
Eigenvalues	Eigenvalues.largest(int nev) Configure to compute the largest nev values/vectors.
static Eigenvalues	Eigenvalues.of(Matrix A) Get an object that can compute the eigendecomposition of the given matrix.
Eigenvalues	FewEigenvalues.run() Runs the eigenvalue decomposition, using an implicitly restarted Arnoldi process (IRAP).
Eigenvalues	Eigenvalues.run() Run the decomposition algorithm.

Uses of Eigenvalues in org.openimaj.ml.clustering.spectral

Methods in org.openimaj.ml.clustering.spectral that return Eigenvalues

Modifier and Type	Method and Description
protected Eigenvalues	DoubleSpectralClustering.laplacianEigenVectors(SparseMatrix laplacian)
abstract Eigenvalues	EigenChooser.prepare(SparseMatrix laplacian) Make a coarse decision of the number of eigen vectors to extract in the first place with the knowledge of the eigen values that will likely be important
Eigenvalues	HardCodedEigenChooser.prepare(SparseMatrix laplacian)
protected Eigenvalues	CachedDoubleSpectralClustering.spectralCluster(SparseMatrix data)
protected Eigenvalues	DoubleSpectralClustering.spectralCluster(SparseMatrix data)

Methods in org.openimaj.ml.clustering.spectral with parameters of type Eigenvalues

Modifier and Type	Method and Description
protected IndependentPair<double[],double[][]>	PreparedSpectralClustering.bestCols(Eigenvalues eig)
SpectralIndexedClusters	PreparedSpectralClustering.cluster(Eigenvalues eig)
Iterator<DoubleObjectPair<Vector>>	GraphLaplacian.eigenIterator(Eigenvalues evd)
Iterator<DoubleObjectPair<Vector>>	GraphLaplacian.Normalised.eigenIterator(Eigenvalues evd)
Iterator<DoubleObjectPair<Vector>>	GraphLaplacian.Warped.eigenIterator(Eigenvalues evd)
int[][]	PreparedSpectralClustering.performClustering(Eigenvalues data)

Constructors in org.openimaj.ml.clustering.spectral with parameters of type Eigenvalues

Constructor and Description
FBEigenIterator(Eigenvalues evd)