Dataset 2: Zip file containing the Tables of the presented method and results

Tables present the experimental results for hyperspectral image (HSI) band selection using the Enhanced Binary Jaya Algorithm (EBJA) with mutation operator, followed by classification using the k-Nearest Neighbors (k-NN) classifier. They include details of selected band subsets, classification accuracies across datasets (Indian Pines, Pavia University, Salinas), comparison with baseline/metaheuristic methods, and statistical performance metrics such as overall accuracy (OA) and average accuracy (AA).