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Multivariate Data Analysis

Multivariate Data Analysis. Principal Component Analysis. Principal Component Analysis (PCA). Singular Value Decomposition Eigenvector / eigenvalue calculation. Data Matrix (IxK). Reduce variables Improve projections Remove noise Find outliers Find classes. K. X. I. PCA.

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688 views • 40 slides

On the Interaction of Tiling and Automatic Parallelization

On the Interaction of Tiling and Automatic Parallelization. Zhelong Pan, Brian Armstrong, Hansang Bae Rudolf Eigenmann Purdue University, ECE 2005.06.01. Outline. Motivation Tiling and Parallelism Tiling in concert with parallelization Experimental results Conclusion. Parallelizing

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435 views • 20 slides

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Multivariate Data Analysis

On the Interaction of Tiling and Automatic Parallelization