Cluster Analysis in Marketing Research

Thomas Reutterer, Daniel Dan

Research output: Chapter in Book/Report/Conference proceedingChapterEducationpeer-review

Abstract

This chapter gives an overview of the various approaches and methods for cluster analysis and links them with the most relevant marketing research contexts. We also provide pointers to the specific packages and functions for performing cluster analysis using the R ecosystem for statistical computing. A substantial part of this chapter is devoted to the illustration of applying different clustering procedures to a reference data set of shopping basket data. We briefly outline the general approach of the considered techniques, provide a walk-through for the corresponding R code required to perform the analyses, and offer some interpretation of the results.
Original languageEnglish
Title of host publicationHandbook of Market Research
PublisherSpringer
ISBN (Electronic)978-3-319-05542-8
DOIs
Publication statusPublished - 2019

Keywords

  • Cluster analysis
  • Hierarchical clustering
  • k-centroid
  • k-medoid clustering
  • Marketing analysis
  • Marketing research

Fingerprint

Dive into the research topics of 'Cluster Analysis in Marketing Research'. Together they form a unique fingerprint.

Cite this