Abstract: Principal component analysis (PCA) is a fundamental tool for data visualization, denoising, and dimensionality reduction. It is widely popular in statistics, machine learning, computer ...
(defparameter wine-classifications (loop for r across (dataset-points wine-with-classifications) when (= (elt r 0) 1d0) count r into one when (= (elt r 0) 2d0) count r into two when (= (elt r 0) 3d0) ...
Abstract: B-dot probes are one of the most commonly used devices for measuring armature velocity in electromagnetic rail launch systems. In this study, we present a mathematical model of the induced ...
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