unsupervised-learning

Exercises for the SISSA course "Unsupervised learning and non-parametric methods"

1. Dimensionality reduction: Principal Component Analysis (PCA)
2. Dimensionality reduction: PCA, Kernel-PCA, Isomap
3. Clustering algorithms: k-means, k-means++, k-medoids, fuzzy c-means
4. Markov State Model