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details PLSAOptions Class Reference VIGRA

Option object for the pLSA algorithm. More...

#include <vigra/unsupervised_decomposition.hxx>

List of all members.

Public Member Functions

PLSAOptionsmaximumNumberOfIterations (unsigned int n)
PLSAOptionsminimumRelativeGain (double g)
PLSAOptionsnormalizedComponentWeights (bool v=true)
 PLSAOptions ()

Detailed Description

Option object for the pLSA algorithm.


Constructor & Destructor Documentation

Initialize all options with default values.


Member Function Documentation

PLSAOptions& maximumNumberOfIterations ( unsigned int  n)

Maximum number of iterations which is performed by the pLSA algorithm.

default: 50

Minimum relative gain which is required for the algorithm to continue the iterations.

default: 1e-4

Normalize the entries of the zv result array.

If true, the columns of zv sum to one. Otherwise, they have the same column sum as the original feature matrix.

default: true


The documentation for this class was generated from the following file:

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de)
Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany

html generated using doxygen and Python
vigra 1.9.0 (Tue Nov 6 2012)