A parallelized implementation of Principal Component Analysis (PCA) using Singular Value Decomposition (SVD) in OpenMP for C. The procedure used is Modified Gram Schmidt algorithm. The method for Classical Gram Schmidt is also available for use.
c
openmp
parallel-computing
pca-analysis
pca
svd
principal-component-analysis
qr-decomposition
singular-value-decomposition
gram-schmidt
openmp-parallelization
modified-gram-schmidt
classical-gram-schmidt
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Updated
May 9, 2019 - C