Open Access
Review
Table 1
Synthetic overview of the main methodological families discussed in Sections 2 and 3.
| Family | Main objective | Representative tools |
|---|---|---|
| Data reduction | Extract compact latent representations | PCA, LLE, AE, VAE, RRAE |
| Clustering/ classification | Organize or label data | k-means, SVM, decision trees, random forests |
| Regression/ surrogate modeling | Approximate input-output continuous mappings | Polynomial regression, NN |
| Dynamical learning | Predict time evolution | DMD, Koopman-based methods, RNN, LSTM |
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