Cluster analysis with SAS Eguide, SPSS and R
Multivariate data consist of observations on two or more variables for each individual or unit. The variables will be generally correlated, and a variety of techniques are available to analyse these data. The objective of cluster analysis is to form groups of observations such that each group is as homogeneous as possible with respect to certain characteristics. The groups are as different as possible.
Practical information:
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- Prerequisites: a practical knowledge of basic statistics, such as standard deviations and correlations
- Price: €25-€150
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Course Content
- Hierarchical cluster analysis
- Nonhierarchical cluster analysis
- Applications in R, SAS and SPSS
Teacher / speaker
An Carbonez is professor at the Leuven Statistics Research Centre (LStat) of the KU Leuven. She received her PhD in Mathematics at the same university in 1992. She is the coordinator of the Master in Statistics program of the KU Leuven. She is also involved in statistical consulting projects and gives tailor made statistical courses in internal and external divisions and companies.
