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A novel method of representing multivariate data is presented. Each point in k-dimensional space, k≤18, is represented by a cartoon of a face whose features, such as length of nose and curvature of mouth, correspond to components of the point. Thus every multivariate observation is visualized as a computer-drawn face. This presentation makes it easy for the human mind to grasp many of the essential regularities and irregularities present in the data. Other graphical representations are described briefly.
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Herman Chernoff (Fri,) studied this question.
synapsesocial.com/papers/6a23bb1dffed3004559eeac9 — DOI: https://doi.org/10.2307/2284077
Herman Chernoff
Harvard University Press
Journal of the American Statistical Association
Stanford University
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