GitHub / 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.
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Stars: 16
Forks: 3
Open issues: 0
License: None
Language: C
Size: 27.5 MB
Dependencies parsed at: Pending
Created at: about 6 years ago
Updated at: almost 2 years ago
Pushed at: almost 6 years ago
Last synced at: over 1 year ago
Topics: c, classical-gram-schmidt, gram-schmidt, modified-gram-schmidt, openmp, openmp-parallelization, parallel-computing, pca, pca-analysis, principal-component-analysis, qr-decomposition, singular-value-decomposition, svd