The effects of processing orders and parameters on identification accuracy were investigated. The maximum accuracy and its associated 95% CI for each similarity measure across three processing orders are presented in Table . For each processing order and similarity measure, the maximum accuracy was selected, along with the corresponding set of parameters. For Cosine Correlation, the processing order of CMW performed the best, achieving an accuracy of 69.07%. Interestingly, processing orders had little effect on the accuracy of Shannon Entropy Correlation, which remained almost constant, ranging from 67.74% to 67.92% across all processing orders, although the processing order of CMW showed the best performance similar to Cosine Correlation. For Tsallis Entropy Correlation, CWM and CMW showed the highest accuracy at 68.94%. Most maximum accuracies were achieved with a window size (da) of 0.7, a noise removal (NR) level of 0, and a low-entropy threshold (LET) of 3. In the case of weight factor transformation (WFT), most instances showed that maximum accuracy occurred with (a, b) = (1.3, 0.55), indicating that the weight factor transformation is also a key component for better accuracy.