In subspace pattern recognition, the basis vectors represent the features of the data and define the class. In the previous works, standard principal component analysis is used to derive the basis vectors. Compared with standard PCA, Nonlinear PCA can provide the high-order statistics and result in non-orthogonal basis vectors. We combine Nonlinear PCA and a subspace classifier to extract the e...

inter- and intra-population variations of a recently described endemic cyprinid fish alburnoides qanati coad and bogutskaya, 2009 collected from three localities in the kor river basin, iran, were studied by applying morphometric and meristic characters using canonical discriminate function analysis (dfa), principal component analysis (pca) and cluster analysis (ca). in dfa, the overall random ...

‎The most challenging task in dealing with Bayesian networks is learning their structure‎. ‎Two classical approaches are often used for learning Bayesian network structure;‎ ‎Constraint-Based method and Score-and-Search-Based one‎. ‎But neither the first nor the second one are completely satisfactory‎. ‎Therefore the heuristic search such as Genetic Alg...

Background Various clinical (disease activity, seropositive RA etc.) and metabolic risk factors (Dkk1 have been associated with erosive rheumatoid arthritis (RA). However, such might be intertwined, multicollinearity reduce our ability to discern the individual contribution score. Principal component analysis (PCA) is statistical technique for reducing dataset’s dimension principal regression (...

The different orthogonal relationship that exists in the Löwdin orthogonalizat ions is presented. Other orthogonalizat ion techniques such as polar decomposition (PD), principal component analysis (PCA) and reduced singular value decomposition (SVD) can be derived from Löwdin methods. It is analytically shown that the polar decomposition is presented in the symmetric o rthogonalization; princip...

 Traditional morphometric measurements and meristic counts were used to investigate the hypothesis of population fragmentation of Mash mahi, Aspius aspius taeniatus (Eichwald, 1831) among two fishing areas in southern Caspian Sea basin(Tonekabon:32 specimens  and Sari:34 specimens ). Univariate analysis of variance showed significant differences between the means of the two groups for 12 out of...

 Traditional morphometric measurements and meristic counts were used to investigate the hypothesis of population fragmentation of Mash mahi, Aspius aspius taeniatus (Eichwald, 1831) among two fishing areas in southern Caspian Sea basin(Tonekabon:32 specimens  and Sari:34 specimens ). Univariate analysis of variance showed significant differences between the means of the two groups for 12 o...