I’ve also read that the definition of “high-dimensional” is relative to the number of data points you have in your dataset, such that “high-d” means dims is greater[1] than n, “low-d” means n is greater[1:1] than dims, and “medium-d” means the two are of similar magnitude.
However, this would mean that much of modern machine learning is done on “low-dimensional” data, which is absurd.
I’ve also read that the definition of “high-dimensional” is relative to the number of data points you have in your dataset, such that “high-d” means
dims
is greater[1] thann
, “low-d” meansn
is greater[1:1] thandims
, and “medium-d” means the two are of similar magnitude.However, this would mean that much of modern machine learning is done on “low-dimensional” data, which is absurd.
(by a substantial amount)