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.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Isle | 8 | 3 years ago | mit | C++ | ||||||
| This repository provides code for SVD and Importance sampling-based algorithms for large scale topic modeling. | ||||||||||
| Parallel Svd | 7 | 8 years ago | 1 | C++ | ||||||
| parallel SVD algorithm (Jacobis Rotations) using OpenMP | ||||||||||
| Parallel Pca Openmp | 5 | 5 years ago | C | |||||||
| 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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