Eigenvectors, Data Science, Analytics, Principal Component, Graph.
feature vector to transposed version of original dataset. Formula 7 Graphically speaking, our original data was along x and y axis (see plot 2) . When we do PCA, we get eigenvectors which are new perpendicular axes formed in the graph (e1 and e2 in plot 2). We reorient our data in terms of these