2.1 Topics Covered

  • Understand the mathematics behind principal component analysis
  • Compute principal components for a set of variables
  • Interpret the characteristics of a principal component analysis
  • Spatialize the principal components
  • Investigate the connection between clustering of principal components and multivariate clustering
GeoDa Functions
  • Clusters > PCA
    • select variables
    • PCA parameters
    • PCA summary statistics
    • saving PCA results
Toolbar Icons
Clusters > PCA | MDS | t-SNE

Figure 2.1: Clusters > PCA | MDS | t-SNE