modified-gram-schmidt

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arneish / parallel-PCA-openmp

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

Updated May 9, 2019
C

Soyeon-ErinLee / My-R-Functions

Star

Hand-made R Functions Mainly for Statistical Data Analysis

Updated Dec 31, 2020
R

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