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
- Clusters > PCA
- select variables
- PCA parameters
- PCA summary statistics
- saving PCA results
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Figure 2.1: Clusters > PCA | MDS | t-SNE