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An algorithm for the analysis of multivariate data is presented and is discussed in terms of specific examples. The algorithm seeks to find one-and two-dimensional linear projections of multivariate data that are relatively highly revealing.
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Jerome H. Friedman
Pennsylvania State University
John W. Tukey
AT&T (United States)
IEEE Transactions on Computers
Princeton University
SLAC National Accelerator Laboratory
Stanford Synchrotron Radiation Lightsource
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Friedman et al. (Sun,) studied this question.
synapsesocial.com/papers/69ff4c68b124fe5819855d5d — DOI: https://doi.org/10.1109/t-c.1974.224051