How is automatic classification different from pattern recognition?

Question

Machine learning

How is automatic classification different from pattern recognition?
If we can classify an object as a poodle dog than is it not pattern recognition?
Can we say that segmentation is part of the classification.

Answer 1

theoretically it is possible to tell certainly that for example classification is to choose from the given classes.
and recognition, this just do to understand is there, any of the presented classes or NOT.
Roughly speaking, when classifying - photos of a cat and a dog, all photos will be classified as a cat or a dog, even if the photo shows a toilet bowl.
when recognizing, such as there is an answer -> that there is no cat or dog in the photo.
but this is at first glance, in fact, even such a difference is leveled if we expand the classification not to "cat / dog", but to "cat / dog / other", then again the recognition task is reduced to the task of classification (although it was originally such).
Segmentation is part of the classification, moreover, for example, a "neuron" in a neural network is a small classifier, so absolutely any task solved using neural networks can be called classification tasks.
And you can go further and show that any method is actually based on classification (signals in a neural network, nodes in trees, probabilities in statistical methods, etc.)