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Showing 1 to 1 of 1 for “"hig-dimensional data"”.
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New Covariance-Based Feature Extraction Methods for Classification and Prediction of High-Dimensional Data
<p>When analyzing high dimensional data sets, it is often necessary to implement feature extraction methods in order to capture relevant discriminating information useful for the purposes of classification and prediction. The relevant information can typically be represented in lower-dimensional …