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Canonical discriminant analysis

DIFFERENTIATION BETWEEN THREE SAUDI GOAT TYPES USING SIZE-FREE CANONICAL DISCRIMINANT ANALYSIS

DIFFERENTIATION BETWEEN THREE SAUDI GOAT TYPES USING SIZE-FREE CANONICAL DISCRIMINANT ANALYSIS

... used discriminant analysis to correctly classify most Sudan and Sudan-Sahel goat populations of Burkina Faso into their source population ...mainly discriminant analysis, canonical ...

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Application of canonical discriminant analysis in differentiation of natural populations of Pinus nigra in Serbia based on terpene composition

Application of canonical discriminant analysis in differentiation of natural populations of Pinus nigra in Serbia based on terpene composition

... The canonical discriminant analysis (CDA) of recently reported terpene composition of ...molecular analysis is needed to clarify relationships witin this extremely variable and complex ...

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Mineral Element Concentrations in Foliage of Divaricate and Non-Divaricate Coprosma Species

Mineral Element Concentrations in Foliage of Divaricate and Non-Divaricate Coprosma Species

... species canonical discriminant analysis was ...(1982). Canonical discriminant analysis deals with observations in ...The analysis transforms individual ...

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Bronchoalveolar lavage fluid cytokine profiles in neuroendocrine cell hyperplasia of infancy and follicular bronchiolitis

Bronchoalveolar lavage fluid cytokine profiles in neuroendocrine cell hyperplasia of infancy and follicular bronchiolitis

... CDA: Canonical discriminant analysis; CF: Cystic fibrosis; chILD: Children ’ s interstitial lung disease; DC: Disease control; EDTA: Ethylenediaminetetra acetic acid; FB: Follicular bronchiolitis; ...

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Statolith morphometrics can discriminate among taxa of cubozoan jellyfishes

Statolith morphometrics can discriminate among taxa of cubozoan jellyfishes

... Fourier Analysis (EFA) were applied to proximal, oral and lateral statolith faces of 12 cubozoan ...with Canonical Discriminant Analysis (CDA) when analysing proximal + oral + lateral ...

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AGROMORPHOLOGICAL VARIABILITY OF PEARL MILLET ( Pennisetum glaucum (L.) R. Br.) CULTIVARS GROWN IN BENIN

AGROMORPHOLOGICAL VARIABILITY OF PEARL MILLET ( Pennisetum glaucum (L.) R. Br.) CULTIVARS GROWN IN BENIN

... The canonical discriminant analysis, principal component analysis and hierarchical ascendant classification has identified three morphological classes based on 16 quantitative traits and 8 ...

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Development of breath test for pneumoconiosis: a case-control study

Development of breath test for pneumoconiosis: a case-control study

... used canonical discriminant analysis (CDA) and a forward stepwise method to build the discriminant model among (1) dust-exposed stone workers with pneumoconiosis, (2) dust-exposed stone ...

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Biological age and tempos of aging in women over 60 in connection with their morphofunctional characteristics

Biological age and tempos of aging in women over 60 in connection with their morphofunctional characteristics

... comparative analysis show that women with accelerated aging are characterized with such traits as lower skeletal muscle mass, lower hand grip strength, and higher metabolic ...rate. Canonical ...

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Canonical Correlation Analysis »

Canonical Correlation Analysis »

... of canonical correlation analysis is to find the best linear combination between two multivariate datasets that maximizes the correlation coefficient between ...variables, canonical correlation ...

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Bayesian Quadratic Discriminant Analysis

Bayesian Quadratic Discriminant Analysis

... components analysis (Swets and Weng, ...linear discriminant analysis (Ye, 2005), which was shown by the author of that work to perform similarly to Friedman’s regularized linear discriminant ...

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Recognition of face images using Canonical collection

Recognition of face images using Canonical collection

... of canonical correlations of linear subspaces are explained and ...comparing canonical correlations with both classical methods (parametric model-based and non- parametric sample-basedmatching) are carried ...

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Bilinear Discriminant Component Analysis

Bilinear Discriminant Component Analysis

... ing the weights w, and the threshold ε, include Least-Squares Regression, Logistic Regression, Fisher’s Linear Discriminant and the Single-Layer Perceptron (see, e.g., Bishop, 1996; McCulloch and Searle, 2001). ...

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Chemometric Feature Selection and Classification of Ganoderma lucidum Spores and Fruiting Body Using ATR FTIR Spectroscopy

Chemometric Feature Selection and Classification of Ganoderma lucidum Spores and Fruiting Body Using ATR FTIR Spectroscopy

... penalized discriminant analysis (PDA) model was developed to identify informative spectral features for distinguishing between spores and fruiting body of ...component discriminant analysis ...

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Face recognition using nonparametric-weighted Fisherfaces

Face recognition using nonparametric-weighted Fisherfaces

... for analysis by using nonparametric-weighted feature extraction ...linear discriminant analysis, and null space linear discriminant analysis methods for tests on five facial ...

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Do Non- Saccharomyces Yeasts Work Equally with Three Di erent Red Grape Varieties?

Do Non- Saccharomyces Yeasts Work Equally with Three Di erent Red Grape Varieties?

... Results of the aromatic profile of the three varieties inoculated with different strategies showed interesting results. For instance, wine samples were mainly separated in the graph of the two main discriminant ...

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AFFINE INVARIANT OF 3D OBJECTS USING STATISTICAL AND ALGEBRAIC COEFFICIENTS

AFFINE INVARIANT OF 3D OBJECTS USING STATISTICAL AND ALGEBRAIC COEFFICIENTS

... on canonical correlation coefficients obtained from the canonical analysis, this approach consists of extracting the canonical variables from the original object and its transformation, then ...

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A discriminant analysis prediction model of non syndromic cleft lip with or without cleft palate based on risk factors

A discriminant analysis prediction model of non syndromic cleft lip with or without cleft palate based on risk factors

... of the limitations of the sample size, a self-verification was adopted to evaluate the discriminant predictive ef- fect of NSCL/P, which tended to exaggerate the discrim- inant effect. Further studies are needed ...

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Linear discriminant analysis : a detailed tutorial

Linear discriminant analysis : a detailed tutorial

... Linear Discriminant Analysis (LDA) is a very common technique for dimensionality reduction problems as a pre- processing step for machine learning and pattern classifica- tion ...

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Discriminant analysis of the speciality of elite cyclists

Discriminant analysis of the speciality of elite cyclists

... AD1 initially involved all 23 variables recorded, or which 10 were eliminated by the procedure during the analysis. Table 3 shows the standardised coefficients obtained for each variable in the two ...

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Robust Estimation for Fisher Discriminant Analysis

Robust Estimation for Fisher Discriminant Analysis

... ods is inherent to Fisher LDA and is introduced in [15], which claims it alleviates data sensitivity by incorporating data uncertainty and subsequently optimizes the worst-case scenario of the Fisher discriminant ...

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