Overview  Package  Class   Use  Tree  Index  Help 
 PREV   NEXT FRAMES    NO FRAMES    

Uses of Class
de.uni_leipzig.mcl.cluster.SparseMatrix

Packages that use SparseMatrix
de.uni_leipzig.mcl.cluster Provides the classes which implement the Markov clustering algorithm. 
 

Uses of SparseMatrix in de.uni_leipzig.mcl.cluster
 

Fields in de.uni_leipzig.mcl.cluster declared as SparseMatrix
 SparseMatrix SparseMatrixLabeled._mat
           
 

Methods in de.uni_leipzig.mcl.cluster that return SparseMatrix
 SparseMatrix SparseMatrix.copy()
          copy the matrix and its elements
 SparseMatrix MarkovClustering.expand(SparseMatrix m)
          expand stochastic quadratic matrix by sqaring it with itself: result = m * m.
 SparseMatrix SparseMatrixLabeled.getMatrix()
           
 SparseMatrix SparseMatrix.matrixTimes(SparseMatrix m)
          immutable multiply matrix M with this (A) : M * A
 SparseMatrix MarkovClustering.run(SparseMatrix a, double maxResidual, double pGamma, double loopGain, double maxZero)
          run the MCL process.
 SparseMatrix SparseMatrix.times(SparseMatrix m)
          immutable multiply this matrix (A) with M : A * M
 SparseMatrix SparseMatrix.timesTransposed(SparseMatrix m)
          mutable multiply this matrix (A) with M : A * M'
 SparseMatrix SparseMatrix.transpose()
          immutable transpose.
 

Methods in de.uni_leipzig.mcl.cluster with parameters of type SparseMatrix
 SparseMatrix MarkovClustering.expand(SparseMatrix m)
          expand stochastic quadratic matrix by sqaring it with itself: result = m * m.
 void SparseMatrix.hadamardProduct(SparseMatrix m)
          mutable Hadamard product
 double MarkovClustering.inflate(SparseMatrix m, double p, double zeromax)
          inflate stochastic matrix by Hadamard (elementwise) exponentiation, pruning and normalisation :
 SparseMatrix SparseMatrix.matrixTimes(SparseMatrix m)
          immutable multiply matrix M with this (A) : M * A
 SparseMatrix MarkovClustering.run(SparseMatrix a, double maxResidual, double pGamma, double loopGain, double maxZero)
          run the MCL process.
 void SparseMatrixLabeled.setMatrix(SparseMatrix a)
           
 SparseMatrix SparseMatrix.times(SparseMatrix m)
          immutable multiply this matrix (A) with M : A * M
 SparseMatrix SparseMatrix.timesTransposed(SparseMatrix m)
          mutable multiply this matrix (A) with M : A * M'
 

Constructors in de.uni_leipzig.mcl.cluster with parameters of type SparseMatrix
SparseMatrix(SparseMatrix matrix)
          copy contructor
 

Overview  Package  Class   Use  Tree  Index  Help 
 PREV   NEXT FRAMES    NO FRAMES