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Cathie Marsh Institute for Social Research

Introduction to Cluster Analysis (CPD accredited)

Date: 9 February 2018
Time: 10am – 4.30pm
Instructor: Kitty Lymperopoulou
Level: Introductory
Fee: £195 (£140 for those from educational, government and charitable institutions). 

We offer up to 5 subsidised places at a reduced rate of £60 per course day to research staff and students within Humanities at the University of Manchester. These places are awarded in order of application. In some instances, such as for unfunded PhD students, we may be able to offer free or bursary places.

Please note: This is not guaranteed and is considered on a case by case basis. Please contact us for more information.

Outline

The course covers cluster analysis concepts and methods in SPSS. It is aimed at those with an interest in developing practical skills to implement clustering techniques and those with an interest in area typologies and classifications.

Course objectives

Participants will develop an understanding of clusterIng methods and procedures in SPSS. By the end of the course they will be able to carry out preliminary analysis to select and transform variables for cluster analysis, choose a clustering method,  evaluate and choose cluster solutions, interpret clusters and present cluster analysis results. Hierarchical and non-hierarchical cluster analysis will be applied to 2011 Census local area data to produce an area classification to group areas with similar overall population characteristics into clusters.

Prerequisites

Participants should have familiarity with SPSS and an understanding of basic data analytical techniques including correlation and regression analysis. 

Recommended reading

  • M B. Everitt, S. Landau, M. Leese (2011) Cluster Analysis (5th Edition) Arnold, London
  • J. Norušis M.J. (2011) IBM SPSS statistics 19 statistical procedures companion, Addison Wesley
  • Vickers, D., and Rees, P. (2007). Creating the national statistics 2001 output area classification, Journal of the Royal Statistical Society, Series A 170 (2), pp. 379–403.

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