- k-means algorithm
- Mixture of Gaussians (MoG)
- Principal component analysis (PCA)
- Linear discriminant analysis (LDA)
- Hidden Markov Model (HMM)
- Factor Analysis
- Linear dynamical systems (LDS)
- Non-Linear dynamical systems
- Markov random fields (MRF)
- Factor graphs
- Belief propagation algorithm
- Expectation-Maximization (EM) algorithm
- Variational AutoEncoder (VAE)
- Logistic regression
- Conditional random field (CRF)
- Restricted Boltzmann machines (RBM)