X-Git-Url: https://git.donarmstrong.com/?a=blobdiff_plain;f=linearalgebra.h;h=7453f4ebd8b86ed20f530c2e1ba7989808361fb2;hb=6b32d112bb60e9f7eb6d4407a4eed4c49b67bced;hp=3c86cb1de9fb697bac4aae04adc298c8994b4e83;hpb=4283eb0248ca6e7e3e3344647f16166da0e14147;p=mothur.git diff --git a/linearalgebra.h b/linearalgebra.h index 3c86cb1..7453f4e 100644 --- a/linearalgebra.h +++ b/linearalgebra.h @@ -20,9 +20,12 @@ public: ~LinearAlgebra() {} vector > matrix_mult(vector >, vector >); + vector >transpose(vector >); void recenter(double, vector >, vector >&); - int tred2(vector >&, vector&, vector&); + //eigenvectors + int tred2(vector >&, vector&, vector&); int qtli(vector&, vector&, vector >&); + vector< vector > calculateEuclidianDistance(vector >&, int); //pass in axes and number of dimensions vector< vector > calculateEuclidianDistance(vector >&); //pass in axes vector > getObservedEuclideanDistance(vector >&); @@ -44,7 +47,9 @@ public: vector solveEquations(vector >, vector); vector > getInverse(vector >); double choose(double, double); - + double normalvariate(double mu, double sigma); + vector< vector > lda(vector< vector >& a, vector groups, vector< vector >& means, bool&); //Linear discriminant analysis - a is [features][valuesFromGroups] groups indicates which group each sampling comes from. For example if groups = early, late, mid, early, early. a[0][0] = value for feature0 from groupEarly. + int svd(vector< vector >& a, vector& w, vector< vector >& v); //Singular value decomposition private: MothurOut* m; @@ -72,8 +77,6 @@ private: void ludcmp(vector >&, vector&, float&); void lubksb(vector >&, vector&, vector&); - - }; #endif