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 [7] and [8] 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.

An Adaptive Face Recognition System Based on a Novel Incremental Kernel Nonparametric Discriminant Analysis

Application of Discriminant Analysis to predict the class of degree for graduating students in a university system.

Prediction of Students' Academic Performance using Artificial Neural Network

Before implementing the canonical discriminant analysis, Pearson's correlation among the variables was conducted to identify the variables which were not important for study.

Can the environment influence varroosis infestation in Africanized honey bees in a Neotropical region?

One of them is Generalized Singular Value Decomposition (GSVD) [17] which is generally applied by various discriminant analysis approaches [18, 19].

Bandwidth Allocation Mechanism based on Users' Web Usage Patterns for Campus Networks

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.

BEHAVIORAL BIASES ACROSS THE STOCK MARKET INVESTORS: EVIDENCE FROM PAKISTAN

Results of the stepwise discriminant analysis showing Wilk's Lambda values, F-values, probability and tolerance statistics are presented in Table 6.

PRINCIPAL COMPONENT AND DISCRIMINANT ANALYSES OF BODY WEIGHT AND CONFORMATION TRAITS OF SASSO, KUROILER AND INDIGENOUS FULANI CHICKENS IN NIGERIA

The basic idea of Fisher discriminant analysis is projection.

Piper-PCA-Fisher Recognition Model of Water Inrush Source: A Case Study of the Jiaozuo Mining Area

Discriminant analysis is a multivariate statistical method that can distinguish newly acquired samples according to the quantitative characteristics of the existing observational sample.

A Bayesian Stepwise Discriminant Model for Predicting Risk Factors of Preterm Premature Rupture of Membranes: A Case-control Study

Train using different models such as random forest, Generalized Boosted Regression Modeling, Linear discriminant analysis, support vector machine.

Effective diagnosis of heart disease through stacking approach

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.

Multivariate discriminant predictive modelling of transactional credit risk in SME and mid-corporate lending

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.

APPLICATION OF THE STATISTICAL APPROACH IN DIAGNOSING IN MEDICAL AND BIOLOGICAL RESEARCHES

A discriminant analysis was performed to identify game-related statistics which discriminate between winning and losing teams.