Practical Applications of Data Mining

CHAPTER

7

Clustering

7.1 INTRODUCTION

In the previous chapters, we discussed several data-mining techniques

including association rules, classification, statistics, rough sets, and neural

networks as methods to retrieve useful and meaningful information from

a database. The basic concepts of these techniques were discussed and a

number of examples were given as illustrations. In this chapter, clustering

will be described as another efficient knowledge discovery method that

can be used to search for interesting patterns in large collections of data.

Various clustering algorithms will be illustrated by examples.

Clustering can be used for da ...