Bayes Empirical Bayes Classification of Components Using Masked Data

For classification and pattern recognition, it is known that the Bayes decision rule is the best decision rule, which gives the minimum probability of misclassification. The Bayes classifier cannot be immediately applied, since it contains unknown parameters (means, variances, and percentages of k classes). In this study, a set of masked life data is used to establish a Bayes empirical Bayes (BEB)…