- [[infinity norm]] # Idea Distance is a quantitative degree of how far two mathematical objects (e.g., vectors) are apart from each other ([[Cha 2007 distance and similarity measures|Cha 2007]]). A common [[supervised machine learning]] technique that is based on the distance between points are from one another is [[support vector machines]]. Other common ones include [[k-nearest neigbour classifier|KNN]]. When your [[machine learning]] algorithm uses distance-based-metrics, you should always perform [[feature scaling]]. If not, you could get drastically different (and likely misleading) results. # References - [distances and equations in R code](https://rdrr.io/cran/philentropy/man/distance.html)