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IEEE/ICACT20230225 Slide.18        [Big Slide]	Oral Presentation
	testing result on the NCC-1 dataset show that Truncate SVD is a dimensional reduction method which produces the highest average similarity value of 0.7701. The highest similarity value of 0.9635 is obtained by the Truncate SVD method, which goes through the Random Under sampling process. The low performance of the Truncate SVD technique is caused by the non-linear characteristic of traffic data, while this model is more suitable for linear data.

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