Project II for 3460:635 Advanced Algorithms, which is composed of two parts. Part I uses singular value decomposition (SVD) to compress PGM images. Part II uses principal component analysis (PCA) to reduce the dimensionality of high-dimensional datasets.
Theorize how long the implementation of SVD and PCA will take and the expected size reduction, and compare this against the empirical results from the testing metrics. Discuss the differences and create lovely, colorful charts that are not of the type scatterplot.
Theorize how long the implementation of SVD and PCA will take and the expected size reduction, and compare this against the empirical results from the testing metrics. Discuss the differences and create lovely, colorful charts that are not of the type scatterplot.