Algorithms
The most widely used classifiers are the neural network (multi-layer perceptron), support vector machines, k-nearest neighbours, Gaussian mixture model, Gaussian, naive Bayes, decision tree and RBF classifiers.
Examples of classification algorithms include:
- Linear classifiers
- Fisher's linear discriminant
- Logistic regression
- Naive Bayes classifier
- Perceptron
- Support vector machines
- Least squares support vector machines
- Quadratic classifiers
- Kernel estimation
- k-nearest neighbor
- Boosting (meta-algorithm)
- Decision trees
- Random forests
- Neural networks
- Gene Expression Programming
- Bayesian networks
- Hidden Markov models
- Learning vector quantization
- Proaftn
Read more about this topic: Statistical Classification