Hierarchical clustering

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Authors: Dianne Cook, Ursula Laa
Cited by: 0

Abstract

This chapter introduces visualisation for hierarchical cluster analysis. It starts with an overview of hierarchical clustering, and the summary of a clustering result in a dendrogram, showing how the dendrogram can be overlayed on a data plot. This is followed by an illustration of common patterns that can confuse hierarchical cluster analysis, and how they can be diagnosed visually. It finishes with an explanation of how we can use the tour to visualise the dendrogram in high dimensions, to understand the differences in the way the choices affect the joining of points into clusters.

Fields of Study & Subjects

Advanced Clustering Algorithms Research Data Visualization and Analytics Topological and Geometric Data Analysis

Publication details

Journal / source
Chapman & Hall/CRC eBooks
Pages
87–96
Publication date
11 March 2026
Language
EN
Document type
Book chapter