Introduction to clustering
Abstract
This chapter introduces the concepts of cluster data and how the tour can be used to assist with identifying clusters. It begins with an explanation of cluster analysis and how we can define metrics based on what we clustering patterns we expect to be present. Examples of complication structures that can impact distance calculations that then affect the cluster analysis are shown. It finishes with examples that illustrate how tours can be used to perceive clustering.
Fields of Study & Subjects
Advanced Clustering Algorithms Research
Data Visualization and Analytics
Data Mining and Machine Learning Applications
Publication details
- Journal / source
- Chapman & Hall/CRC eBooks
- Pages
- 75–82
- Publication date
- 11 March 2026
- Language
- EN
- Document type
- Book chapter