Dimension reduction refers to transforming data with many related variables into data with fewer variables for the purpose of visualization and analysis.
- Common methods we will discuss today:
- Principal Components Analysis (PCA)
- Factor Analysis (FA)
- Multidimensional Scaling (MDS)