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In testing results using the CTU-13 dataset, the lowest similarity value is -0.0106, with the PCA technique, which goes through the Random Under sampling process on selected unique values data. Even though the lowest similarity value is found obtained by the PCA technique, on average, it is not better than Fast ICA. It is because the values obtained from PCA tend to be low in oversampling data with a value of 0. In contrast, these values do not correspond to the average value resulting from dimensional reduction with the PCA technique. |