Uses of Class
de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Packages that use Vector

de.lmu.ifi.dbs.elki.application	Base classes for stand alone applications.
de.lmu.ifi.dbs.elki.data	Basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms.
de.lmu.ifi.dbs.elki.data.synthetic.bymodel	Generator using a distribution model specified in an XML configuration file.
de.lmu.ifi.dbs.elki.math	Mathematical operations and utilities used throughout the framework.
de.lmu.ifi.dbs.elki.math.linearalgebra	Linear Algebra package provides classes and computational methods for operations on matrices.
de.lmu.ifi.dbs.elki.math.statistics	Statistical tests and methods.
de.lmu.ifi.dbs.elki.result.textwriter.writers	Serialization handlers for individual data types.
de.lmu.ifi.dbs.elki.utilities	Utility and helper classes - commonly used data structures, output formatting, exceptions, ...
de.lmu.ifi.dbs.elki.visualization	Visualization package of ELKI.

Uses of Vector in de.lmu.ifi.dbs.elki.application

Methods in de.lmu.ifi.dbs.elki.application that return Vector

private Vector

GeneratorXMLSpec.parseVector(String s) Parse a string into a vector.

Method parameters in de.lmu.ifi.dbs.elki.application with type arguments of type Vector

private void

GeneratorXMLSpec.processElementPoint(LinkedList<Vector> points, Node cur) Parse a 'point' element (point vector for a static cluster)

Uses of Vector in de.lmu.ifi.dbs.elki.data

Methods in de.lmu.ifi.dbs.elki.data that return Vector

Vector	FloatVector.getColumnVector()
Vector	SparseFloatVector.getColumnVector()
Vector	NumberVector.getColumnVector() Returns a Vector representing in one column and getDimensionality() rows the values of this NumberVector of V.
Vector	DoubleVector.getColumnVector()
Vector	BitVector.getColumnVector() Returns a Vector representing in one column and getDimensionality() rows the values of this BitVector as double values.

Methods in de.lmu.ifi.dbs.elki.data with parameters of type Vector

FloatVector	FloatVector.newInstance(Vector values)
SparseFloatVector	SparseFloatVector.newInstance(Vector values)
V	NumberVector.newInstance(Vector values) Returns a new NumberVector of N for the given values.
DoubleVector	DoubleVector.newInstance(Vector values)
BitVector	BitVector.newInstance(Vector values)

Uses of Vector in de.lmu.ifi.dbs.elki.data.model

Fields in de.lmu.ifi.dbs.elki.data.model declared as Vector

private Vector

CorrelationAnalysisSolution.centroid The centroid if the objects belonging to the hyperplane induced by the correlation.

Methods in de.lmu.ifi.dbs.elki.data.model that return Vector

Vector	CorrelationAnalysisSolution.dataVector(V p) Returns the data vectors after projection.
Vector	CorrelationAnalysisSolution.errorVector(V p) Returns the error vectors after projection.
Vector	CorrelationAnalysisSolution.getCentroid() Returns the centroid of this model.

Constructors in de.lmu.ifi.dbs.elki.data.model with parameters of type Vector

CorrelationAnalysisSolution(LinearEquationSystem solution, Database<V> db, Matrix strongEigenvectors, Matrix weakEigenvectors, Matrix similarityMatrix, Vector centroid)
Provides a new CorrelationAnalysisSolution holding the specified matrix.

CorrelationAnalysisSolution(LinearEquationSystem solution, Database<V> db, Matrix strongEigenvectors, Matrix weakEigenvectors, Matrix similarityMatrix, Vector centroid, NumberFormat nf)
Provides a new CorrelationAnalysisSolution holding the specified matrix and number format.

Uses of Vector in de.lmu.ifi.dbs.elki.data.synthetic.bymodel

Fields in de.lmu.ifi.dbs.elki.data.synthetic.bymodel declared as Vector

private Vector	GeneratorSingleCluster.clipmax
private Vector	GeneratorSingleCluster.clipmin Clipping vectors.

Fields in de.lmu.ifi.dbs.elki.data.synthetic.bymodel with type parameters of type Vector

LinkedList<Vector>	GeneratorStatic.points Cluster points
LinkedList<Vector>	GeneratorSingleCluster.points The generated cluster points.

Methods in de.lmu.ifi.dbs.elki.data.synthetic.bymodel that return Vector

Vector	GeneratorSingleCluster.getClipmax() Return a copy of the 'clipping maximum' vector
Vector	GeneratorSingleCluster.getClipmin() Return a copy of the 'clipping minimum' vector.

Methods in de.lmu.ifi.dbs.elki.data.synthetic.bymodel that return types with arguments of type Vector

List<Vector>	GeneratorInterface.generate(int count) Generate a specified number of points
List<Vector>	GeneratorStatic.generate(int count) "Generate" new cluster points.
LinkedList<Vector>	GeneratorSingleCluster.generate(int count) Generate the given number of additional points.
List<Vector>	GeneratorInterface.getPoints() Get points.
List<Vector>	GeneratorStatic.getPoints() Get cluster points
LinkedList<Vector>	GeneratorSingleCluster.getPoints() Return the list of points (no copy)

Methods in de.lmu.ifi.dbs.elki.data.synthetic.bymodel with parameters of type Vector

void	GeneratorSingleCluster.addTranslation(Vector v) Add a translation to the generator
double	GeneratorInterface.getDensity(Vector p) Get the density of the given vector
double	GeneratorStatic.getDensity(Vector p) Get density at a given coordinate.
double	GeneratorSingleCluster.getDensity(Vector p) Compute density for cluster model at given vector p-
void	GeneratorSingleCluster.setClipping(Vector min, Vector max) Set a clipping box. min needs to be smaller than max in each component.
private boolean	GeneratorSingleCluster.testClipping(Vector p) Test if a point is to be clipped

Method parameters in de.lmu.ifi.dbs.elki.data.synthetic.bymodel with type arguments of type Vector

void	GeneratorSingleCluster.setPoints(LinkedList<Vector> points) Set the list of points in the cluster

Constructor parameters in de.lmu.ifi.dbs.elki.data.synthetic.bymodel with type arguments of type Vector

GeneratorStatic(String name, LinkedList<Vector> points)
Construct generator using given name and points

Uses of Vector in de.lmu.ifi.dbs.elki.math

Methods in de.lmu.ifi.dbs.elki.math with parameters of type Vector

static double

MathUtil.mahalanobisDistance(Matrix weightMatrix, Vector o1_minus_o2) Compute the Mahalanobis distance using the given weight matrix

Uses of Vector in de.lmu.ifi.dbs.elki.math.linearalgebra

Methods in de.lmu.ifi.dbs.elki.math.linearalgebra that return Vector

Vector	AffineTransformation.apply(Vector v) Apply the transformation onto a vector
Vector	AffineTransformation.applyInverse(Vector v) Apply the inverse transformation onto a vector
Vector	AffineTransformation.applyRelative(Vector v) Apply the transformation onto a vector
Vector	AffineTransformation.applyRelativeInverse(Vector v) Apply the inverse transformation onto a vector
Vector	Vector.copy() Returns a copy of this vector.
Vector	Matrix.getColumnVector(int j) Returns the jth column of this matrix as vector.
Vector	Matrix.getRowVector(int i) Returns the ith row of this matrix as vector.
Vector	AffineTransformation.homogeneRelativeVector(Vector v) Transform a relative vector into homogeneous coordinates.
Vector	AffineTransformation.homogeneVector(Vector v) Transform an absolute vector into homogeneous coordinates.
Vector	Vector.inverseVector() Inverts every element of the vector.
Vector	Vector.minus(Vector v) Returns this vector minus the specified vector v.
Vector	Vector.plus(Vector v) Returns a new vector which is the result of this vector plus the specified vector.
static Vector	Vector.randomNormalizedVector(int dimensionality) Returns a randomly created vector of length 1.0
Vector	Vector.sqrtVector() Square roots every element of the vector.
Vector	Vector.times(double s) Returns a new vector which is the result of this vector multiplied by the specified scalar.
Vector	AffineTransformation.unhomogeneRelativeVector(Matrix v) Project an homogeneous vector back into the original space.
Vector	AffineTransformation.unhomogeneVector(Matrix v) Project an homogeneous vector back into the original space.
static Vector	Vector.unitVector(int dimensionality, int i) Returns the ith unit vector of the specified dimensionality.

Methods in de.lmu.ifi.dbs.elki.math.linearalgebra with parameters of type Vector

void	AffineTransformation.addTranslation(Vector v) Add a translation operation to the matrix
Vector	AffineTransformation.apply(Vector v) Apply the transformation onto a vector
Vector	AffineTransformation.applyInverse(Vector v) Apply the inverse transformation onto a vector
Vector	AffineTransformation.applyRelative(Vector v) Apply the transformation onto a vector
Vector	AffineTransformation.applyRelativeInverse(Vector v) Apply the inverse transformation onto a vector
private void	Vector.checkDimensions(Vector v) Check if this.getDimensionality() == v.getDimensionality().
static Matrix	Matrix.diagonal(Vector diagonal) Returns a quadratic Matrix consisting of zeros and of the given values on the diagonal.
Vector	AffineTransformation.homogeneRelativeVector(Vector v) Transform a relative vector into homogeneous coordinates.
Vector	AffineTransformation.homogeneVector(Vector v) Transform an absolute vector into homogeneous coordinates.
Vector	Vector.minus(Vector v) Returns this vector minus the specified vector v.
Vector	Vector.plus(Vector v) Returns a new vector which is the result of this vector plus the specified vector.
double	Vector.scalarProduct(Vector v) Returns the scalar product of this vector and the specified vector v.

Uses of Vector in de.lmu.ifi.dbs.elki.math.statistics

Fields in de.lmu.ifi.dbs.elki.math.statistics declared as Vector

private Vector	MultipleLinearRegression.b The (p+1 x 1) - vector holding the estimated b-values (b0, b1, ..., bp)^T.
private Vector	MultipleLinearRegression.e The (n x 1) - vector holding the estimated residuals (e1, ..., en)^T.
private Vector	MultipleLinearRegression.y The (n x 1) - vector holding the y-values (y1, ..., yn)^T.

Methods in de.lmu.ifi.dbs.elki.math.statistics that return Vector

Vector	MultipleLinearRegression.getEstimatedCoefficients() Returns the estimated coefficients
Vector	MultipleLinearRegression.getEstimatedResiduals() Returns the estimated residuals

Methods in de.lmu.ifi.dbs.elki.math.statistics with parameters of type Vector

private static Matrix

PolynomialRegression.xMatrix(Vector x, int p)

Constructors in de.lmu.ifi.dbs.elki.math.statistics with parameters of type Vector

MultipleLinearRegression(Vector y, Matrix x)
Provides a new multiple linear regression model with the specified parameters.

PolynomialRegression(Vector y, Vector x, int p)
Provides a new polynomial regression model with the specified parameters.

Uses of Vector in de.lmu.ifi.dbs.elki.result.textwriter.writers

Methods in de.lmu.ifi.dbs.elki.result.textwriter.writers with parameters of type Vector

void	TextWriterVector.write(TextWriterStream out, String label, Vector v) Serialize an object into the inline section.

Uses of Vector in de.lmu.ifi.dbs.elki.utilities

Methods in de.lmu.ifi.dbs.elki.utilities that return Vector

static Vector

DatabaseUtil.centroid(Matrix data) Returns the centroid as a Vector object of the specified data matrix.

Uses of Vector in de.lmu.ifi.dbs.elki.visualization

Methods in de.lmu.ifi.dbs.elki.visualization that return Vector

Vector	VisualizationProjection.projectDataToRenderSpace(double[] data) Project a data vector from data space to rendering space.
Vector	VisualizationProjection.projectDataToRenderSpace(NumberVector<?,?> data) Project a data vector from data space to rendering space.
Vector	VisualizationProjection.projectDataToScaledSpace(double[] data) Project a data vector from data space to scaled space.
Vector	VisualizationProjection.projectDataToScaledSpace(NumberVector<?,?> data) Project a data vector from data space to scaled space.
Vector	VisualizationProjection.projectRelativeDataToRenderSpace(double[] data) Project a relative data vector from data space to rendering space.
Vector	VisualizationProjection.projectRelativeDataToRenderSpace(NumberVector<?,?> data) Project a relative data vector from data space to rendering space.
Vector	VisualizationProjection.projectRelativeDataToScaledSpace(double[] data) Project a relative data vector from data space to scaled space.
Vector	VisualizationProjection.projectRelativeDataToScaledSpace(NumberVector<?,?> data) Project a relative data vector from data space to scaled space.
Vector	VisualizationProjection.projectRelativeRenderToScaled(Vector v) Project a relative vector from rendering space to scaled space.
Vector	VisualizationProjection.projectRelativeScaledToRender(Vector v) Project a relative vector from scaled space to rendering space.
Vector	VisualizationProjection.projectRenderToScaled(Vector v) Project a vector from rendering space to scaled space.
Vector	VisualizationProjection.projectScaledToRender(Vector v) Project a vector from scaled space to rendering space.

Methods in de.lmu.ifi.dbs.elki.visualization with parameters of type Vector

<NV extends NumberVector<NV,?>> NV	VisualizationProjection.projectRelativeRenderToDataSpace(Vector v, NV sampleobject) Project a relative vector from rendering space to data space.
Vector	VisualizationProjection.projectRelativeRenderToScaled(Vector v) Project a relative vector from rendering space to scaled space.
<NV extends NumberVector<NV,?>> NV	VisualizationProjection.projectRelativeScaledToDataSpace(Vector v, NV sampleobject) Project a relative vector from scaled space to data space.
Vector	VisualizationProjection.projectRelativeScaledToRender(Vector v) Project a relative vector from scaled space to rendering space.
<NV extends NumberVector<NV,?>> NV	VisualizationProjection.projectRenderToDataSpace(Vector v, NV sampleobject) Project a vector from rendering space to data space.
Vector	VisualizationProjection.projectRenderToScaled(Vector v) Project a vector from rendering space to scaled space.
<NV extends NumberVector<NV,?>> NV	VisualizationProjection.projectScaledToDataSpace(Vector v, NV sampleobject) Project a vector from scaled space to data space.
Vector	VisualizationProjection.projectScaledToRender(Vector v) Project a vector from scaled space to rendering space.