Pattern Classification

Pattern classification is a process used by computers to recognize and categorize data based on its features. It involves analyzing examples (training data) to understand the characteristics that distinguish different groups or categories. Once trained, the system can then identify which category new, unseen data belongs to. This is similar to how face recognition works: the system learns features of faces during training and then matches new images to these learned patterns to identify individuals. Pattern classification is widely used in fields like image analysis, speech recognition, and medical diagnosis.