In statistics, the distance between vectors or data sets are computed in various ways depending on the problem statement and the properties of the data. These distances are often used in algorithms and techniques such as recommender systems, which help e-commerce companies such as Amazon, eBay, and so on, to recommend relevant products to the customers.
To get ready, the
Distances library has to be installed and imported. We install it using the
Pkg.add() function. It can be done as follows:
Then, the package has to be imported for use in the session. It can be imported through the
using ... command. This can be done as follows: