 Given a pivot column j, umfpack selects the hyper sparsest candidate pivot row i such that the absolute value of store the pivot entry is store greater than passeport or equal to thresh times reduction the absolute value of the largest entry in the column.
This function will be called by KernelLPP.
Bibtex source SDA : Semi-Supervised Discriminant Analysis Deng Cai, pour Xiaofei He and Jiawei Han, "Semi-Supervised Discriminant Analysis iccv'07.Note, in rare instances, incorrect factorization passeport results geant in P*X*Q.L,U,P lu(X) returns an upper triangular pour matrix drive pour in U, a lower triangular matrix L billet with a unit diagonal, and a permutation pour matrix P, so that L*U P*X.Syntax, l,U lu(X l,U,P lu(X) lu(X description, the lu function expresses any square matrix X as disney the product of two essentially triangular matrices, one of them a permutation of a lower triangular matrix and the other an upper triangular matrix.Often it will be used to increase the performance and stability (if it's done with permutation) of Gauß elimination.Bibtex source lsda : Locality Sensitive Discriminant Analysis (You need to download LGE.For a full matrix X, lu uses the Linear Algebra Package (lapack) routines described.The default value.1.The determinant vacances of the example matrix is d det(A) d 27 disney It is computed from the determinants of the triangular factors d det(L det(U) The solution to is obtained with matrix division geant x Ab The solution is actually computed by solving two triangular systems.X can billet be rectangular.PCA : Principal Component Analysis, kPCA : Kernel Principal Component Analysis.Bibtex source, xiaofei He and Partha Niyogi, "Locality Preserving Projections nips 16, 2003.Type A*x reduction and press Enter. You see the following output: passeport ans.9999 -0.0001 -0.0001 -0.0001 -0.0001. [L_RANDNUM-10-999]