what is the difference between one class learning and two class learning?

On this link, it says about one- class and two-class learning.

I don't understand one class learning. If there is only one class then why learning is required?

I understand that binary classification is two- class learning. Can anyone explain me what is one- class learning?

Answer 1

[Image Analyst]

Not sure I understand it 100% but did you look way down the page where it explains it: "One-class learning, or unsupervised SVM, aims at separating data from the origin......."

[KJVKU999]

Thanks.

They use it as synonym for unsupervised learning. I learned that now!