[Retracted] An Accurate Method of Determining Attribute Weights in Distance-Based Classification Algorithms

Table 1

Several commonly used distance formulas.

Distance name	Brief explanation	Distance formula
Euclidean distance	The straight-line distance between two points
Manhattan distance	The sum of the absolute wheelbases of two points in standard coordinates
Chebyshev distance	The maximum value of the difference between coordinates
Markov distance	The covariance distance of data	. The covariance matrix is denoted as S, and the mean is denoted as μ