the main focus in this study is on data pre-processing, reduction in number of inputs or input space size reduction the purpose of which is the justified generalization of data set in smaller dimensions without losing the most significant data. in case the input space is large, the most important input variables can be identified from which insignificant variables are eliminated, or a variable ...

This correspondence proposes a fast Parzen density estimation algorithm which would be specially useful in the non-parametric discriminant analysis problems. By pre-clustering the data and applying a simple branch and bound procedure to the clusters, significant numbers of data samples which would contribute little to the density estimate can be excluded without detriment to actual evaluation v...

This paper presents a procedure for studying industrial performance and related issues such as changes in the wage structure. This procedure combines cluster analysis and discriminant analysis as a package, and applies this package to time series data. This enables us to organize industrial data into groups with similar wage or performance histories and then to extract summary time-series showi...

in this study, by examining the character of the morphometric and meristic characters of garra variabilis samples which is obtained from different locality in tigris river, morphometric characters which are transformed, subjected to discriminant analysis and depending on grouping model, number of discriminant functions and according to importance of these in terms of explaining total variance, ...

This article utilizes data envelopment analysis (DEA) to estimate the productivity of the English and Welsh police forces and to determine whether there are categorical scale effects in policing using multiple discriminant analysis (MDA). The article demonstrates that by using DEA efficiency results it is possible to make inferences about the optimal size and structure of the English and Welsh ...

This study uses a cluster analysis procedure to develop a classification model of low-contact services based on seven operations objectives. The effectiveness of the classification scheme is tested by demonstrating the link between the objectives, competitive priorities, and performance. This study also identifies eight underlying factors of competitive priorities in low-contact services. Furth...

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...