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georgemdallas.wordpress.com | ||
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algobeans.com
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| | | | | You are exploring the nutritional content of food. How can food items be differentiated? How might they be classified? PCA derives underlying variables that help you slice your data for these insights. | |
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poissonisfish.com
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| | | | | Principal component analysis (PCA) is routinelyemployed on a wide range of problems. From the detection of outliers topredictive modeling, PCAhas the ability of projecting the observations described by $latex p &s=1$ variables into few orthogonal components defined at where thedata 'stretch' the most, rendering a simplified overview. PCA is particularly powerful in dealing with multicollinearity... | |
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sportscidata.com
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| | | | | Recently Dan Weaving and the research group at Leeds Beckett University put out a paper outlining how to perform a type of dimension reduction on training load data: principal component analysis (PCA). The benefit of such an analysis is it can reduce a large number of metrics into a more manageable dataset. This may uncover... | |
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github.com
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| | | Contribute to cfallin/weval development by creating an account on GitHub. | ||
