Classification (machine Learning) - Algorithms

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