Principal component analysis (PCA) and its dual—principal coordinate analysis (PCO)—are widely applied to unsupervised dimensionality reduction. In this paper, we show that PCA and PCO can be carried out under regression frameworks. Thus, it is convenient to incorporate sparse techniques into the regression frameworks. In particular, we propose a sparse PCA model and a sparse PCO model. The for...

west part of iran is considered as one of the center of diversity for aegilops triunsialis, therefore, study of its genetic diversity in this area is extremely important regarding evolution of this plant. the genetic variation among 40 accessions of ae.triunsialis collected from west of iran were studied using 12 issr markers. dna was extracted, concentrations adjusted and five samples from eac...

Kiers (1991) considered the orthogonal rotation in PCAMIX, a principal component method for a mixture of qualitative and quantitative variables. PCAMIX includes the ordinary principal component analysis (PCA) and multiple correspondence analysis (MCA) as special cases. In this paper, we give a new presentation of PCAMIX where the principal components and the squared loadings are obtained from a...

It is present in this paper the feature extraction for pattern recognition tasks. It is proposed two approaches. In the first, it is used weights to scale the coordinates of the features vector in order to increase the precision of statistical classifiers. Genetic algorithm is intended to do weight adjustments. In the second approach the Battacharyya metric is suggested. Theses approaches make ...

Many have suggested a bootstrap procedure for estimating the sampling variability of principal component analysis (PCA) results. However, when the number of measurements per subject (p) is much larger than the number of subjects (n), calculating and storing the leading principal components from each bootstrap sample can be computationally infeasible. To address this, we outline methods for fast...

Astronomy has evolved almost exclusively by the use of spectroscopic and imaging techniques, operated separately. With the development of modern technologies it is possible to obtain datacubes in which one combines both techniques simultaneously, producing images with spectral resolution. To extract information from them can be quite complex, and hence the development of new methods of data ana...