Principal Components and Discriminant Analysis
This session aims to develop a knowledge and understanding of Principal Components and Discriminant Analysis. The key learning points are to:
- Decide whether Cluster Analysis or Correspondence Analysis is appropriate for your data/project.
- Know the data requirements for these techniques
- Complete a Cluster Analysis and Correspondence Analysis using a statistical package.
- Be able to interpret and discuss results.
Please contact CCSL for further details.