# discriminant analysis

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Related to discriminant analysis: factor analysis, Cluster analysis

## dis·crim·i·nant a·nal·y·sis

a statistical analytic technique used with discrete dependent variables, concerned with separating sets of observed values and allocating new values; an alternative to regression analysis.
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Recently, Arbia Soula et al presented in  and  a novel face recognition systems formulated on Gabor and ordinal filters for feature extrication, and on the Kernel Fisher Discriminant Analysis (KFD) and the Kernel Nonparametric Discriminant Analysis (KNDA), respectively, for dimension reduction and classification.
Application of Discriminant Analysis to predict the class of degree for graduating students in a university system.
Before implementing the canonical discriminant analysis, Pearson's correlation among the variables was conducted to identify the variables which were not important for study.
One of them is Generalized Singular Value Decomposition (GSVD)  which is generally applied by various discriminant analysis approaches [18, 19].
Next, discriminant analysis using MANOVA is done to factor out the variables that differentiate investors on the basis of age, income-group and the type of investors.
Results of the stepwise discriminant analysis showing Wilk's Lambda values, F-values, probability and tolerance statistics are presented in Table 6.
Discriminant analysis is a multivariate statistical method that can distinguish newly acquired samples according to the quantitative characteristics of the existing observational sample.
Train using different models such as random forest, Generalized Boosted Regression Modeling, Linear discriminant analysis, support vector machine.
The purpose of this paper is to design and develop a credit risk rating model for Indian state-owned banks based on multivariate discriminant analysis (MDA) using both financial and non-financial variables and find which category of variables had the strongest impact within the given samples.
In discriminant analysis, it is considered that classes (groups) are already given, and the new object is classified into one of these classes based on the meaning of a variable.
A discriminant analysis was performed to identify game-related statistics which discriminate between winning and losing teams.

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