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The Use of Faces to Represent Points in K-Dimensional Space Graphically
Journal of the American Statistical Association
Vol. 68, No. 342 (Jun., 1973), pp. 361-368
Stable URL: http://www.jstor.org/stable/2284077
Page Count: 8
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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.
Journal of the American Statistical Association © 1973 American Statistical Association