Maximum columns for pca11/3/2023 Pattern matrix (unstandardized loadings): We train a PCA model, allowing up to 3 dimensions: M = fit(PCA, Xtr maxoutdim=3) PCA(indim = 4, outdim = 3, principalratio = 0.9957325846529409) Suppose Xtr and Xte are training and testing data matrix, with each observation in a column. Performing PCA on Iris data set: using MultivariateStats, RDatasets, Plots Principal Component Analysis (PCA) derives an orthogonal projection to convert a given set of observations to linearly uncorrelated variables, called principal components. Edit on GitHub Principal Component Analysis
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