CUDA C implementation of Principal Component Analysis (PCA) through Singular Value Decomposition (SVD) using a highly parallelisable version of the Jacobi eigenvalue algorithm.
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Updated
May 10, 2019 - Cuda
CUDA C implementation of Principal Component Analysis (PCA) through Singular Value Decomposition (SVD) using a highly parallelisable version of the Jacobi eigenvalue algorithm.
A way to compute PCA through CUDA and GPU
A NIR palm recognition Matlab script using PCA, Image Processing techniques and K Means
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