Fernando, T., & Webb, G. (2017). SimUSF: An efficient and effective similarity measure that is invariant to violations of the interval scale assumption. Data Mining & Knowledge Discovery, 31(1), 264. https://doi.org/10.1007/s10618-016-0463-0
Chicago Style (17th ed.) CitationFernando, Thilak, and Geoffrey Webb. "SimUSF: An Efficient and Effective Similarity Measure That Is Invariant to Violations of the Interval Scale Assumption." Data Mining & Knowledge Discovery 31, no. 1 (2017): 264. https://doi.org/10.1007/s10618-016-0463-0.
MLA (9th ed.) CitationFernando, Thilak, and Geoffrey Webb. "SimUSF: An Efficient and Effective Similarity Measure That Is Invariant to Violations of the Interval Scale Assumption." Data Mining & Knowledge Discovery, vol. 31, no. 1, 2017, p. 264, https://doi.org/10.1007/s10618-016-0463-0.