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Lennart Eriksson and Svante Wold A graphical index of separation (GIOS) in multivariate modeling Journal of Chemometrics 24

Version of Record online: 29 DEC 2010 | DOI: 10.1002/cem.1372

We introduce a new measure for the importance of predictor variables, X, for the separation of two groups (classes) of observations. The measure is a Graphical Index of Separation (GIOS), and is, for each predictor, determined from the distribution of all possible pairs of observations with one from each group. GIOS is quantitative, intuitively simple, and easy to interpret.

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