Uses of Interface
org.astrogrid.matrix.Matrix

Packages that use Matrix

no.uib.cipr.matrix
org.astrogrid.cluster.cluster
org.astrogrid.matrix

Uses of Matrix in no.uib.cipr.matrix

Methods in no.uib.cipr.matrix that return Matrix

Matrix	AGDenseMatrix.add(double a)
Matrix	AGDenseMatrix.delCol(int k)
Matrix	AGDenseMatrix.delRow(int del)
Matrix	AGDenseMatrix.divide(Matrix b, Matrix c) C= A/B where the division is elementwise.
static Matrix	AGDenseMatrix.identity(int ncentres) Return a square identity matrix.
Matrix	AGDenseMatrix.inv()
Matrix	AGDenseMatrix.ones()
Matrix	AGDenseMatrix.pow(double i)
Matrix	AGDenseMatrix.setColumn(int idx, Matrix v)
Matrix	AGDenseMatrix.setColumn(int idx, no.uib.cipr.matrix.Vector v)
Matrix	AGDenseMatrix.setRow(int k, Matrix m)
Matrix	AGDenseMatrix.setRow(int k, no.uib.cipr.matrix.Vector v)
Matrix	AGDenseMatrix.slice(int rowstart, int rowend, int colstart, int colend)
Matrix	AGDenseMatrix.sliceCol(int colstart, int ncols)
Matrix	AGDenseMatrix.slicem(int idx, boolean dorow)
Matrix	AGDenseMatrix.sliceRowM(int k) returns a row as a matrix.

Methods in no.uib.cipr.matrix with parameters of type Matrix

AGDenseMatrix	AGDenseMatrix.append(Matrix mm)
Matrix	AGDenseMatrix.divide(Matrix b, Matrix c) C= A/B where the division is elementwise.
Matrix	AGDenseMatrix.setColumn(int idx, Matrix v)
Matrix	AGDenseMatrix.setRow(int k, Matrix m)

Constructors in no.uib.cipr.matrix with parameters of type Matrix

AGDenseMatrix(Matrix A, boolean deep)

AGDenseMatrix(Matrix m, int ni, int nj)
Create a new matrix by tiling the input matrix.

Uses of Matrix in org.astrogrid.cluster.cluster

Fields in org.astrogrid.cluster.cluster declared as Matrix

Matrix	Clustering.ClusteringResults.cov
Matrix	Clustering.ClusteringResults.lcov
Matrix	Clustering.ClusteringResults.lmu
Matrix	Clustering.ClusteringResults.mu
Matrix	Clustering.ClusteringResults.R

Methods in org.astrogrid.cluster.cluster with parameters of type Matrix

static double	ClusterBoundFull.cluster_bound_full(Matrix data, Matrix datatype, int K, AGDenseMatrix mu, AGDenseMatrix cv, AGDenseMatrix lmu, AGDenseMatrix lcv, no.uib.cipr.matrix.Vector p, AGDenseMatrix output, AGDenseMatrix latent, AGDenseMatrix ab, AGDenseMatrix q, CovarianceKind cv_type)
static ClusterErr.ClusterErrResult	ClusterErr.cluster_err(Matrix alldata, Matrix datatype, int K, int niters, double tol, CovarianceKind cv_type)
static double	ClusterBound.clustering_bound(Matrix alldata, Matrix datatype, int K, AGDenseMatrix mu, AGDenseMatrix cv, AGDenseMatrix lmu, AGDenseMatrix lcv, no.uib.cipr.matrix.Vector p, AGDenseMatrix q, CovarianceKind cv_type)
static ClusterEStepFull.Retval	ClusterEStepFull.clustering_e_step_full(Matrix data, Matrix datatype, int K, Matrix latent, AGDenseMatrix ab, Matrix mu, Matrix cv, Matrix lmu, Matrix lcv, no.uib.cipr.matrix.Vector p, CovarianceKind cv_type)
static AGDenseMatrix	ClusterEStep.clustering_e_step(Matrix data, Matrix datatype, int K, Matrix mu, Matrix cv, Matrix lmu, Matrix lcv, no.uib.cipr.matrix.Vector p, CovarianceKind cv_type)
Clustering.ClusteringResults	Clustering.clustering(boolean display, double tol, boolean mix_var, boolean err_dim, boolean outlier, boolean mml, int c_dim, int e_dim, int b_dim, int m_dim, int i_dim, int niters, double line_s, int mml_min, int mml_max, double mml_reg, CovarianceKind cv_type, Matrix data)
static Objective.result	Objective.objectiveDiag(java.lang.Object cvk, no.uib.cipr.matrix.Vector q, no.uib.cipr.matrix.Vector mu, Matrix data_er, Matrix S)
static Objective.result	Objective.objectiveFull(java.lang.Object cvkm, no.uib.cipr.matrix.Vector q, no.uib.cipr.matrix.Vector mu, Matrix data_er, Matrix S)
static Objective.result	Objective.objectiveSpherical(java.lang.Object cvk, no.uib.cipr.matrix.Vector q, no.uib.cipr.matrix.Vector mu, Matrix data_er, Matrix S)

Constructors in org.astrogrid.cluster.cluster with parameters of type Matrix

Clustering.ClusteringResults(int nclass, Matrix R, no.uib.cipr.matrix.Vector bestpp, Matrix bestmu, Matrix bestcov, java.util.List<java.lang.Double> errlog)
Constructor where there is full latent variables available.

Uses of Matrix in org.astrogrid.matrix

Methods in org.astrogrid.matrix that return Matrix

Matrix	Matrix.add(double a)
static Matrix	MatrixUtils.add(double eps, Matrix q)
static Matrix	MatrixUtils.add(Matrix q, double eps)
static Matrix	Algorithms.centre_kmeans(Matrix data, int nclus, int ndim)
static Matrix	MatrixUtils.cov(Matrix x) Forms the covariance matrix.
Matrix	Matrix.delCol(int k) Delete column k from the matrix.
Matrix	Matrix.delRow(int k)
static Matrix	MatrixUtils.diag(no.uib.cipr.matrix.Vector v)
static Matrix	MatrixUtils.dirichlet_sample(no.uib.cipr.matrix.Vector m, int j)
static Matrix	Algorithms.dist2(Matrix x, Matrix c) %DIST2 Calculates squared distance between two sets of points.
static Matrix	Algorithms.dist3_common(Matrix x, Matrix centres, no.uib.cipr.matrix.Vector covars)
static Matrix	Algorithms.dist3_diag(Matrix x, Matrix centres, Matrix covars)
static Matrix	Algorithms.dist3_free(Matrix x, Matrix centres, Matrix[] covars)
static Matrix	MatrixUtils.divide(Matrix a, Matrix b) Elementwise divide of matrix.
Matrix	Matrix.divide(Matrix b, Matrix c) C= A/B where the division is elementwise.
static Matrix	MatrixUtils.exp(Matrix m)
static Matrix	MatrixUtils.eye(int ndim) produces square identity matrix.
static Matrix	MatrixUtils.eye(int ndim, double val) produces square diagonal matrix using val.
Matrix	Matrix.inv() Computes the inverse of the matrix.
static Matrix	MatrixUtils.inv(Matrix a)
static Matrix	MatrixUtils.log(Matrix m)
static Matrix	MatrixUtils.mult(no.uib.cipr.matrix.Vector a, no.uib.cipr.matrix.Matrix b) a*b - treating a as a column vector.
static Matrix	MatrixUtils.multABAT(no.uib.cipr.matrix.Matrix a, no.uib.cipr.matrix.Matrix b) C = A*B*AT
static Matrix	MatrixUtils.multATBA(no.uib.cipr.matrix.DenseVector v, no.uib.cipr.matrix.Matrix b) C = AT*B*A
Matrix	Matrix.ones()
static Matrix	MatrixUtils.ones(int n)
static Matrix	MatrixUtils.ones(int n, int m)
Matrix	Matrix.pow(double i) Return a matrix with elements raised to the power.
static Matrix	MatrixUtils.pow(Matrix m, double exp) raise each member to the power.
static Matrix	MatrixUtils.psi(Matrix m)
static Matrix	MatrixUtils.rand(int i, int j)
static Matrix	MatrixUtils.recip(double a, Matrix m) Form the elementwise a/mij.
static Matrix	MatrixUtils.recip(Matrix m)
static Matrix	MatrixUtils.repmat(Matrix v, int ni, int nj)
static Matrix	MatrixUtils.repmat(no.uib.cipr.matrix.Vector v, int ni, int nj) Repeat a vector into a matrix treating the vector as a column vector.
static Matrix	MatrixUtils.repmatt(no.uib.cipr.matrix.Vector v, int ni, int nj) Repeat a vector into a matrix treating the vector as a row vector.
static Matrix	MatrixUtils.repmatv(no.uib.cipr.matrix.Vector v, int ni, int nj)
Matrix	Matrix.reshape(int irow, int icol) Reshapes the matrix to have the new size.
Matrix	Matrix.setColumn(int idx, Matrix v) Set a complete column in the matrix to the value given.
Matrix	Matrix.setColumn(int idx, no.uib.cipr.matrix.Vector v) Set a complete column in the matrix to the value given.
Matrix	Matrix.setRow(int k, Matrix m)
Matrix	Matrix.setRow(int k, no.uib.cipr.matrix.Vector v)
Matrix	Matrix.slice(int rowstart, int rowend, int colstart, int colend) Deprecated. too complex - use slicev(int, boolean) or sliceCol(int, int) instead.
Matrix	Matrix.sliceCol(int colstart, int ncols) Returns a new Matrix consisting of only the specified columns.
Matrix	Matrix.sliceRowM(int k) Returns a matrix consisting of only the row.
static Matrix	MatrixUtils.sub(no.uib.cipr.matrix.Matrix a, double b)
static Matrix	MatrixUtils.sub(no.uib.cipr.matrix.Matrix a, no.uib.cipr.matrix.Matrix b) R = A-B.
static Matrix	MatrixUtils.sumsq(Matrix m) produces a matrix which is the sum of the squares of each row.
static Matrix	MatrixUtils.times(double b, Matrix a)
static Matrix	MatrixUtils.times(Matrix a, double b)
static Matrix	MatrixUtils.times(no.uib.cipr.matrix.Matrix a, no.uib.cipr.matrix.Matrix b) Elementwise multiply of matrix.
static Matrix	MatrixUtils.vprod(no.uib.cipr.matrix.Vector a) Forms the vector product of the two vectors -i.e.
static Matrix	MatrixUtils.vprod(no.uib.cipr.matrix.Vector a, no.uib.cipr.matrix.Vector b) Forms the vector product of the two vectors -i.e.

Methods in org.astrogrid.matrix with parameters of type Matrix

static Matrix	MatrixUtils.add(double eps, Matrix q)
static Matrix	MatrixUtils.add(Matrix q, double eps)
AGDenseMatrix	Matrix.append(Matrix m) Append the matrix as new rows onto the existing matrix.
static Matrix	Algorithms.centre_kmeans(Matrix data, int nclus, int ndim)
static Matrix	MatrixUtils.cov(Matrix x) Forms the covariance matrix.
static double	MatrixUtils.det(Matrix m)
static Matrix	Algorithms.dist2(Matrix x, Matrix c) %DIST2 Calculates squared distance between two sets of points.
static Matrix	Algorithms.dist3_common(Matrix x, Matrix centres, no.uib.cipr.matrix.Vector covars)
static Matrix	Algorithms.dist3_diag(Matrix x, Matrix centres, Matrix covars)
static Matrix	Algorithms.dist3_free(Matrix x, Matrix centres, Matrix[] covars)
static Matrix	Algorithms.dist3_free(Matrix x, Matrix centres, Matrix[] covars)
static Matrix	MatrixUtils.divide(Matrix a, Matrix b) Elementwise divide of matrix.
Matrix	Matrix.divide(Matrix b, Matrix c) C= A/B where the division is elementwise.
static Matrix	MatrixUtils.exp(Matrix m)
static Matrix	MatrixUtils.inv(Matrix a)
static void	Algorithms.kmeans(Matrix centres, Matrix data, int niters, double absprec, double errprec, boolean fromData, boolean verbose) Comment for kmeans %KMEANS Trains a k means cluster model.
static Matrix	MatrixUtils.log(Matrix m)
static no.uib.cipr.matrix.Vector	MatrixUtils.max(Matrix im)
static no.uib.cipr.matrix.Vector	Algorithms.mean(Matrix m, int i)
static no.uib.cipr.matrix.Vector	Algorithms.multinorm(Matrix x, no.uib.cipr.matrix.Vector m, Matrix covar)
static Matrix	MatrixUtils.pow(Matrix m, double exp) raise each member to the power.
static Matrix	MatrixUtils.psi(Matrix m)
static Matrix	MatrixUtils.recip(double a, Matrix m) Form the elementwise a/mij.
static Matrix	MatrixUtils.recip(Matrix m)
static Matrix	MatrixUtils.repmat(Matrix v, int ni, int nj)
static AGDenseMatrix	MatrixUtils.reshape(Matrix m, int ni, int nj)
Matrix	Matrix.setColumn(int idx, Matrix v) Set a complete column in the matrix to the value given.
Matrix	Matrix.setRow(int k, Matrix m)
static no.uib.cipr.matrix.Vector	MatrixUtils.sum(Matrix m)
static no.uib.cipr.matrix.Vector	MatrixUtils.sum(Matrix x, int dim)
static Matrix	MatrixUtils.sumsq(Matrix m) produces a matrix which is the sum of the squares of each row.
static no.uib.cipr.matrix.Vector	Algorithms.t_multinorm(Matrix x, no.uib.cipr.matrix.Vector m, Matrix covar, double v)
static Matrix	MatrixUtils.times(double b, Matrix a)
static Matrix	MatrixUtils.times(Matrix a, double b)
static double	MatrixUtils.trace(Matrix m)