I just started learning about machine learning and read about various kinds of algorithm. Right now Iam working on a project where I want to compare input features to features stored in a database and I want to find the DB entry that bast matches the new input.
I know that one way to do this is by using the KNN algorithm and measuring the distance between the feature. Now Iam wondering if there other algorithms that can do the same thing so that I can compare their performance?
Thanks in advance,