Introduction ============ This is a class for symmetric matrix related computations. It can be used for symmetric matrix diagonalization and inversion. If given the covariance matrix, users can utilize the class for principal component analysis(PCA)
多旅行商matlab实验源码实现了三种多旅行商问题 % MTSPOF_GA Fixed Open Multiple Traveling Salesmen Problem (M-TSP) Genetic Algorithm (GA) % Finds a (near) optimal solution to a variation of the "open" M-TSP by % setting up a GA to search for the shortest route (least dis
icaFacesCode 独立成分分析the ica training scr ipt which calls the functions below. 2. sep96.m, the code for one learning pass thru the data 3. sepout.m, for optional text output 4. wchange.m, tracks size and direction of weight changes 5. spherex.m, spher
Inputs: [AorV] Either A or V where A is a NxN adjacency matrix, where A(I,J) is nonzero if and only if an edge connects point I to point J NOTE: Works for both symmetric and asymmetric A V is a Nx2 (or Nx3) matrix of x,y,(z) coordinates [xyCorE] Eit
