In this paper, a new, Clustering-based Two-Dimensional Linear Discriminant Analysis (Clustering-based 2DLDA) method is proposed for extracting discriminant features in Automatic Speech Recognition (ASR). Based on Two-Dimensional Linear Discriminant Analysis (2DLDA), which works with data represented in matrix space and is adopted to extract discriminant information in a joint spectral-temporal ...

finger strategies and urgency on numerical typing performance with queuing network model human processor. of young people in a hear-and-type task.

fourteen different morphological traits in 169 and 131 cattle of oulmes-zaer and tidili, respectively were recorded and analyzed using a multivariate approach. the characters measured included heart girth, wither height, rump height, rump length, rump width, chest depth, body length, neck length, cannon circumference, ear length, ear width, head length, horn length and tail length. breed signif...

The subject of this paper is an experimental study of a discriminant analysis (DA) based on Gaussian mixture estimation of the class-conditional densities. Five parameterizations of the covariance matrixes of the Gaussian components are studied. Recommendation for selection of the suitable parameterization of the covariance matrixes is given.

The subselect package addresses the issue of variable selection in different statistical contexts, among which exploratory data analyses; univariate or multivariate linear models; generalized linear models; principal components analysis; linear discriminant analysis, canonical correlation analysis. Selecting variable subsets requires the definition of a numerical criterion which measures the qu...

One of the challenging issues for investors and professionals is appropriate models to evaluate financial situation of the firms. In this regard, many models have been extracted by researchers using different financial ratios to resolve these issues. However, choosing a model based on the conditions and users’ needs is complex. The main objective of this study is to identify the effect of conti...

the objective of this study was to classify the shoosh aquifer to several zones with different water quality in khuzestan province, iran. in this regard, the performance of classification methods (discriminant function and cluster analysis) for the classification of groundwater based on the level of pollution with an emphasis on the problem of over-fitting in training data were considered. an o...