Summary

Pattern recognition (PR) is an important and mature area of scientific activity. The two important activities under pattern recognition are pattern classification and clustering. We have discussed in detail several classification and clustering algorithms in the previous chapters. Our main emphasis was on elaborating the concept using an algorithmic approach. Such a treatment is useful while applying the tools in real life. Some theoretical details have been sacrificed to make this possible but several simple examples have been provided to help the reader understand the concepts.