Applied Data Mining

CHAPTER 7

Advanced Clustering Analysis

7.1 Introduction

Clustering is a useful approach in data mining processes for identifying

patterns and revealing underlying knowledge from large data collections.

The application areas of clustering include image segmentation, information

retrieval, and document classifi cation, associate rule mining, web usage

tracking and transaction analysis. Generally, clustering is defi ned as the

process of partitioning unlabeled data set into meaningful groups (clusters)

so that intra-group similarities are maximized and inter-group similarities

are minimized at the same time. In essence, clustering involves the following ...