| Description | Link |
|---|---|
| Saved 2D tour path for the aflw data | aflw_pct.rda |
| Saved clusters of the penguins data from detourr | detourr_penguins.csv |
| Saved clusters of the fake trees data from detourr | fake_trees_sb.csv |
| Tidied penguins data | penguins_sub.rda |
| Saved 2D tour path for penguins data | penguins_tour_path.rda |
| risk survey | risk_MSA.rds |
| penguins NN model | penguins_cnn |
| fashion MNST NN model | fashion_cnn |
| penguins SHAP values | p_exp_sv.rda |
Appendix C — Links to Book Code and Additional Data
The code and data and an RStudio project can be downloaded from the book GitHub repo: https://github.com/dicook/mulgar_book/.
C.1 Additional data
Table C.1 lists additional data available on the book web site.
C.2 Code files
Table C.2 lists additional data available on the book web site.
| Chapter | Link | Filename |
|---|---|---|
| 1 Picturing high dimensions | 1-intro.R | 1-intro.R |
| 2 Technical details | 2-notation.R | 2-notation.R |
| 3 Dimension reduction overview | 3-overview-dimred.R | 3-overview-dimred.R |
| 4 Principal component analysis | 4-pca.R | 4-pca.R |
| 5 Non-linear dimension reduction | 5-nldr.R | 5-nldr.R |
| 6 Introduction to clustering | 6-overview-clust.R | 6-overview-clust.R |
| 7 Spin-and-brush approach | 7-spin-and-brush.R | 7-spin-and-brush.R |
| 8 Hierarchical clustering | 8-hierarchical.R | 8-hierarchical.R |
| 9 k-means clustering | 9-kmeans.R | 9-kmeans.R |
| 10 Model-based clustering | 10-model-based.R | 10-model-based.R |
| 11 Self-organizing maps | 11-som.R | 11-som.R |
| 12 Summarising and comparing clustering results | 12-summary-clust.R | 12-summary-clust.R |
| 13 Introduction to supervised classification | 13-intro-class.R | 13-intro-class.R |
| 14 Linear discriminant analysis | 14-lda.R | 14-lda.R |
| 15 Trees and forests | 15-forests.R | 15-forests.R |
| 16 Support vector machines | 16-svm.R | 16-svm.R |
| 17 Neural networks and deep learning | 17-nn.R | 17-nn.R |
| 18 Diagnostics for classification models | 18-summary-class.R | 18-summary-class.R |
| A Toolbox | A-toolbox.R | A-toolbox.R |
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