Daftar/Tabel -- machine learning algorithms

Supervised learning

• AODE
• Artificial neural network
  • Backpropagation
• Bayesian statistics
  • Naive Bayes classifier
  • Bayesian network
  • Bayesian knowledge base
• Case-based reasoning
• Decision trees
• Inductive logic programming
• Gaussian process regression
• Gene expression programming
• Group method of data handling (GMDH)
• Learning Automata
• Learning Vector Quantization
• Logistic Model Tree
• Minimum message length (decision trees, decision graphs, etc.)
• Lazy learning
• Instance-based learning
  • Nearest Neighbor Algorithm
  • Analogical modeling
• Probably approximately correct learning (PAC) learning
• Ripple down rules, a knowledge acquisition methodology
• Symbolic machine learning algorithms
• Subsymbolic machine learning algorithms
• Support vector machines
• Random Forests
• Ensembles of classifiers
  • Bootstrap aggregating (bagging)
  • Boosting (meta-algorithm)
• Ordinal classification
• Regression analysis
• Information fuzzy networks (IFN)

Statistical classification

• AODE
• Linear classifiers
  • Fisher's linear discriminant
  • Logistic regression
  • Naive Bayes classifier
  • Perceptron
  • Support vector machines
• Quadratic classifiers
• k-nearest neighbor
• Boosting
• Decision trees
  • C4.5
  • Random forests
• Bayesian networks
• Hidden Markov models

Unsupervised learning

• Artificial neural network
• Data clustering
• Expectation-maximization algorithm
• Self-organizing map
• Radial basis function network
• Vector Quantization
• Generative topographic map
• Information bottleneck method
• IBSEAD

Association rule learning

• Apriori algorithm
• Eclat algorithm
• FP-growth algorithm

Hierarchical clustering

• Single-linkage clustering
• Conceptual clustering

Partitional clustering

• K-means algorithm
• Fuzzy clustering

Reinforcement learning

• Temporal difference learning
• Q-learning
• Learning Automata
• Monte Carlo Method
• SARSA

Others

• Data Pre-processing