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Principal Component Analysis from Pacific Sea Surface Temperatures (PSST) 1970-2003 using SVD

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Advance Programming - Exercise

The goal of the first task in file pca.py is to make a Principal Component Analysis of the data that is giving, the data is a .mat file containing the database with the Pacific Sea Surface Temperatures (PSST) 1970-2003, analize the data, perform a Singular Value Decompostion (SVD) and visualize the data to see if the PCA is working appropriatly.

In the second file, a video should be done with the given data and the data reconstructed from the PCA previous done.

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Principal Component Analysis from Pacific Sea Surface Temperatures (PSST) 1970-2003 using SVD

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