Essentials of Cluster Analysis (Online)
Date:
08/07/2025
Organised by:
University of Hertfordshire
Presenter:
Prof Neil H. Spencer
Level:
Intermediate (some prior knowledge)
Contact:
Prof. Neil Spencer
statistics@herts.ac.uk
Venue: Online
Description:
This half-day course covers the essentials of cluster analysis - a technique that can be used to explore a dataset and identify groups of cases that exist in the sample.
It is ideal for those working in many areas who either (i) know that groups exist in their data and want to identify which cases belong to which group, (ii) are unsure what groups, if any, exist in their data and want to discover patterns which may exist.
The course will cover both k-means clustering and hierarchical clustering, including issues of choosing distance measures, appropriate numbers of clusters and linkage methods.
The free statistical software jamovi will be used in the course but SPSS can instead be used by course delegates, if preferred. Instructions on how to obtain and install jamovi will be given and you will need to have whichever software you want to use installed on your computer before the start of the course.
Prerequisites: only a basic understanding of operating with data is required.
See our full range of courses (and options for bespoke courses) at https://go.herts.ac.uk/sscu or contact the course organiser, Professor Neil Spencer, at statistics@herts.ac.uk.
Cost:
£129
Website and registration:
Region:
East of England
Keywords:
Quantitative Data Handling and Data Analysis, Cluster analysis, jamovi
Related publications and presentations from our eprints archive:
Quantitative Data Handling and Data Analysis
Cluster analysis