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Autocorrelation-Faces: an Aid to Deaf Children Learning to Speak Disclosure Number: IPCOM000059662D
Original Publication Date: 1986-Jan-01
Included in the Prior Art Database: 2005-Mar-08

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Evangelisti, CJ Pickover, CA [+details]


Various graphical methods of representing multivariate data using icons, or symbols, have been discussed previously [1,2,3,4,5,6]. In general, data parameters are each mapped into a figure with features, each feature varying in size or shape according to the point's coordinate in that dimension. One particularly novel method of representing multivariate data has been presented by Chernoff [1]. The data sample variables are mapped to facial characteristics; thus, each multivariate observation is visualized as a computer drawn face. Such faces have been shown to be more reliable and more memorable than other tested icons [2] and allow the human analyst to grasp many of the essential regularities and irregularities in the data.