# What is the difference between the classification and the pattern recognition?

Could somebody explain this difference just as simple as possible?

• well stated: I had not considered pattern recognition to be nearly synonymous with ML – StephenBoesch Dec 23 '17 at 15:55
Classification is simply a more general term than pattern recognition. In both cases, you have a set of classes $K$ and a collection of observations, where each observation is represented by a set of features. Your job is to find a mapping of features to a member of $K$ such that you minimize some measure/estimate of out-of-sample classification error.