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| Return Home Resources Publications Conference papers Source Code Classifier source code Tutorials Pattern recognition tutorials Terminology Definitions of pattern recognition terms Pattern Recognition Applications A summary of pattern recognition applications Classification Applet Applet Online implementation of various classifiers Data Set Format Description of the data set format used for the classification applet Example Data Sets Downloadable data set examples Classification Applet Documentation Description of the algorithms used |
Pattern Recognition Tutorials Classifiers Naive Bayes Classifier Gaussian Classifier Decision Tree Classifier Gaussian Mixture Model Classifier Neural Network Support Vector Machines (I) Support Vector Machines (II) Comparing Classifiers Learning Theories No Free Lunch Theorem Unsupervised Learning Probability Theory Information Theory Bayesian Networks Bayesian Network Structure Learning Other An
online
implementation of the Naive Bayes, Gaussian, Gaussian Mixture Model,
k-nearest neighbours,
Decision Tree, Neural Network and Support Vector Machine classifiers is
available here.
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