|
patternrecognition.co.za |
||||
|
Home | News | Services | Downloads | Forum | About us | Contact us |
||||
|
|
||||
| |
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 Code Matlab Classification Toolbox Classifiers Matlab/Octave Decision Tree Classifier Gaussian Mixture Model Classifier Naive Bayes Classifier Gaussian Classifier K-Nearest Neighbour Classifier Neural Network (Multilayer Perceptron) Linear Discriminant Classifier (Perceptron) Normal-Based Linear Classifier Data Characteristics Matlab/Octave Information Theoretic Measures Statistical Measures Artificial Data Uniform Data Generator (distributed on a circle) Gram Schmidt Orthogonalization Procedure Numerical Methods Golden Ratio Search 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.
|
|
|
|
|
||||
|
Copyright 2007. www.patternrecognition.co.za |
||||