Exercises for the SISSA course "Unsupervised learning and non-parametric methods"
- Dimensionality reduction: Principal Component Analysis (PCA)
- Dimensionality reduction: PCA, Kernel-PCA, Isomap
- Clustering algorithms: k-means, k-means++, k-medoids, fuzzy c-means
- Markov State Model