Discriminatory analysis is a section of computational mathematics that represents a set of statistical analysis methods for solving image recognition problems , which is used to decide which variables share (ie, discriminate) the resulting data sets (the so-called “groups”). Unlike cluster analysis in discriminant analysis, groups are known a priori.
Content
Discriminant Analysis Methods
- Fisher Linear Discriminant
- Canonical or linear discriminant analysis ( Linear Discriminant Analysis, LDA [1] ).
- Logistic regression .
Examples
For example, a researcher in the field of education may want to examine which variables classify a high school graduate in one of three categories: entering college, entering a vocational school, and refusing further education.
The physician can record various variables related to the patient’s condition in order to find out which variables show better that the patient probably recovered completely, partially or not at all.
Literature
- V.P. Borovikov: The Art of Data Analysis, 2nd Edition, PETER, 2005
See also
- Bayes theorem
Notes
- ↑ Library: Linear Discriminant Analysis method (unavailable link)