Experimental results evaluating the impact of different group numbers in the proposed DC-CapsNet. The results demonstrate how varying the number of groups affects classification accuracy (Acc., %) and standard deviation (Std.) across different datasets.
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https://figshare.com/articles/dataset/Experimental_results_evaluating_the_impact_of_different_group_numbers_in_the_proposed_DC-CapsNet_The_results_demonstrate_how_varying_the_number_of_groups_affects_classification_accuracy_Acc_and_standard_deviation_Std_across_different_datase/29694363
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Experimental results evaluating the impact of different group numbers in the proposed DC-CapsNet. The results demonstrate how varying the number of groups affects classification accuracy (Acc., %) and standard deviation (Std.) across different datasets.
创建时间：
2025-07-30
