In both ESI-and EI-based identification, the accuracies without low entropy transformation were generally higher than those without weight factor transformation across all similarity measures except for WCM as shown in Supplementary Tables and. In terms of computational expense, the Cosine Correlation was the most efficient, while the Tsallis Entropy Correlation was the least efficient. In particular, compared to the Shannon Entropy Correlation, the Cosine Correlation required 27% to 40% less computational expense. This demonstrates that the Cosine Correlation achieves the highest accuracy with the least amount of computational expense.