Abstract
By representing a set of $N$ data points as a vector $\mathbf{x}$ in $\mathbb{R}^{N}$, we show that certain data analysis concepts, in particular regression and quantile regression, can be interpreted as vectors that minimize the distance to the vector $\mathbf{x}$, with respect to an appropriate metric or quasimetric.
Citation
Alan M. Safer. Kagba Suaray. Saleem Watson. "The Shortest Distance in Data Analysis." Missouri J. Math. Sci. 23 (2) 151 - 158, October 2011. https://doi.org/10.35834/mjms/1321045143
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