Suppose there is a set of vectors v1, v2, v3, v4 with V=[v1, v2, v3, v4]. The vectors have very large number of data points ~ 100k. I wanted to orthogonalize them with each other. The classical Gram-Schmidt is not recommended by majority of authors for real data. The symbolic version of orth has skipnormalization. https://www.mathworks.com/help/symbolic/orth.html, but it does not work on orth(V). Error using orth Too many input arguments.
What would be the best way to generate orthogonal basis vectors rather orthonormal basis vectors using built in MATLAB functions? Thanks.