Julia, Stats, Unsupervised Learning, Math, Julialang.
multidimensional scaling, in the sense that the technique often involves finding a low-dimensional projection of the data that preserves the largest amount of variance. M = fit(MDS, matrix; distances=false) plot(M) title!("MDS Plot") Conclusion PCA (Principal Component Analysis) is an unsupervised