Chernoff faces - définition. Qu'est-ce que Chernoff faces
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Qu'est-ce (qui) est Chernoff faces - définition

HUMAN-FACE SHAPED DISPLAY OF DATA
Chernoff's faces; Chernoff faces
  • This example shows Chernoff faces for lawyers' ratings of twelve judges

Chernoff face         
Chernoff faces, invented by applied mathematician, statistician and physicist Herman Chernoff in 1973, display multivariate data in the shape of a human face. The individual parts, such as eyes, ears, mouth and nose represent values of the variables by their shape, size, placement and orientation.
Chernoff bound         
  • chi-square]] random variable
EXPONENTIALLY DECREASING BOUNDS ON TAIL DISTRIBUTIONS OF SUMS OF INDEPENDENT RANDOM VARIABLES
Chernoff's inequality; Chernoff bounds; Chernoff inequality; Matrix chernoff bound; Bernstein-Chernoff inequality
In probability theory, the Chernoff bound gives exponentially decreasing bounds on tail distributions of sums of independent random variables. Despite being named after Herman Chernoff, the author of the paper it first appeared in, the result is due to Herman Rubin.
Paul Chernoff         
AMERICAN MATHEMATICIAN
Chernoff, Paul
Paul Robert Chernoff (21 June 1942, Philadelphia – 17 January 2017)biographical information from American Men and Women of Science, Thomson Gale 2004 was an American mathematician, specializing in functional analysis and the mathematical foundations of quantum mechanics. He is known for Chernoff's Theorem, a mathematical result in the Feynman path integral formulation of quantum mechanics.

Wikipédia

Chernoff face

Chernoff faces, invented by applied mathematician, statistician and physicist Herman Chernoff in 1973, display multivariate data in the shape of a human face. The individual parts, such as eyes, ears, mouth and nose represent values of the variables by their shape, size, placement and orientation. The idea behind using faces is that humans easily recognize faces and notice small changes without difficulty. Chernoff faces handle each variable differently. Because the features of the faces vary in perceived importance, the way in which variables are mapped to the features should be carefully chosen (e.g. eye size and eyebrow-slant have been found to carry significant weight).