Python Recommended algorithm Learning 1

1. Minkowski distance

The distance from Minkowski can be summed up in the distance between Manhattan and Euclid.

where r is larger, the size of the difference between individual dimensions can have a greater effect on the whole. This is a good understanding, assuming that when r=2 a square diagonal length, is always r=3 when the cube diagonal projection, so the larger the R, a single dimension difference will have a greater impact. (So this may also be one of the reasons why many companies recommend algorithms that are not accurate) we can calculate the Minkowski distance for other users in the same dimension when recommending a new user. This kind of massive data form, with pandas processing is very convenient

Python Recommended algorithm Learning 1