ABSTRACT
Statistical pattern recognition is an application in computational statistics that uses many of the concepts we have covered so far, such as probability density estimation and cross-validation. Examples where statistical pattern recognition techniques can be used are numerous and arise in disciplines such as medicine, computer vision, robotics, military systems, manufacturing, finance and many others. Some of these include the following:
• A doctor diagnoses a patient’s illness based on the symptoms and test results.
