Effectiveness of the Classification Using Chernoff Faces
نویسندگان
چکیده
منابع مشابه
Improving Chernoff criterion for classification by using the filled function
Linear discriminant analysis is a well-known matrix-based dimensionality reduction method. It is a supervised feature extraction method used in two-class classification problems. However, it is incapable of dealing with data in which classes have unequal covariance matrices. Taking this issue, the Chernoff distance is an appropriate criterion to measure distances between distributions. In the p...
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Humans have the ability to discern subtle differences in facial expressions. What if multivariate data were represented in the form of a facial expression? Would it be easier to compare data sets? That is the argument behind Chernoff faces, an idea conceived by Herman Chernoff. Traditionally, Chernoff faces are a series of 2D shapes and lines that imitate facial features i.e. a triangle for a n...
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Chernoff faces have been proposed as a tool for scientific and information visualization. However, the effectiveness of this form of visualization is still open to speculation. Chernoff faces, it is suggested, make use of humans' apparently inherent ability to recognize faces and small changes in facial characteristics. Limited research has been conducted to assess how well Chernoff faces make ...
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ژورنال
عنوان ژورنال: Japanese journal of applied statistics
سال: 1991
ISSN: 0285-0370,1883-8081
DOI: 10.5023/jappstat.20.39