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Wikipedia
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List of machine learning algorithms
Contents
1
Supervised learning
1.1
Statistical classification
2
Unsupervised learning
2.1
Association rule learning
2.2
Hierarchical clustering
2.3
Partitional clustering
3
Reinforcement learning
4
Others
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
Group method of data handling
(GMDH)
Learning Automata
Learning Vector Quantization
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
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
Others
Data Pre-processing