Each star represents a multivariate observation, and the stars can be grouped according to their (subjective) siniilarities. It is often helpful, when constructing the stars, to standardize observations.

If the data were all independent columns, then the data would have no multivariate structure and we could just do univariate statistics on each variable (column) in turn.

Mathematical and methodological introduction to multivariate statistical analytics, including linear models, principal components, covariance structures, classification, and clustering, providing …

ivariate analysis.” We have already considered two of these is some detail (for more on these, see the "Multivariate Analysis of Variance" and "Principal Components Analysis" handouts), but I've included …

Chapter 3. Multivariate Distributions. All of the most interesting problems in statistics involve looking at more than a single measurement at a time, at relationships among mea.

The expression multivariate analysis is used to describe analyses of data that are multivariate in the sense that numerous observations or variables are obtained for each individual or unit studied.

1 What is multivariate analysis? 1.1 Defining multivariate analysis 1.2 Examples of multivariate analyses 1.3 Multivariate analyses discussed in this book 1.4 Organization and content of the book 2 …