Principal Component Analysis

Modern assembly lines face numerous challenges when it comes to satisfying client expectations.  The challenges discussed include increasing customization demands, maintaining quality standards, managing lead times, addressing sustainability concerns, and effectively utilizing advanced technologies.  This challenges impact assembly lines efficiency and effectiveness in other word balancing of the line.  This research aims to identify the essential components that significantly influence the balance of assembly lines.  To achieve this objective, a novel approach is propo

Discriminant analysis is part of statistical learning; its goal is to separate classes defined a priori on a population and involves predicting the class of given data points.  Discriminant analysis is applied in various fields such as pattern recognition, DNA microarray etc.  In recent years, the discrimination problem remains a challenging task that has received increasing attention, especially for high-dimensional data sets.  Indeed, in such a case, the feature selection is necessary, which implies the use of criteria of relevance, redundancy and complementarity of e