There are primarily two types of pattern recognition: supervised and unsupervised. In supervised pattern recognition, the model is trained on a labeled dataset to understand and recognize the pattern. In contrast, unsupervised pattern recognition does not use any predefined labels, leaving the model to infer patterns and structures directly from the input data.