Julia, Stats, Unsupervised Learning, Math, Julialang.
to find new variables, called principal components, that are linear combinations of the original variables, and that capture as much of the variance in the data as possible. Eigenvalues play an important role in PCA as they are used to determine the amount of variance captured by each principal