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저자 Jaekwang Kim, Jee-Hyong Lee 
학회명 Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems 
학회명 (약자) SCIS & ISIS 2008 
pp. 1386-1390 
학회시작일 2008-09-17 
학회종료일 2008-09-21 
비고  
Sequence similarity algorithms using dynamic programming (DP) are useful for sequence comparing of DNA, RNA, protein, and even program source code. Those algorithms adopted a matrix manipulation from the sequence alignment which produces a similarity degree proportional to the length of the sequences. So, the existing algorithms are unsuitable for sequences with various lengths. In this paper, we propose S2
algorithm which is a sequence similarity algorithm irrelevant to the sequence length. This algorithm suggests a normalized similarity for two sequences. We also perform the evaluation of the S2 algorithm with the source code similarity comparing.

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