Publisher review:Gaussian and Nearest Mean Classifiers - Estimating probability of Classification error for Gaussian and Nearest Mean Classifiers This M-file focuses on a 3-class pattern classification problem. It generates hundred random samples for each pattern class using given parameters for the class-conditional densities.
Further the Gaussian classifier is implemented to classify test samples of each class using equal prior class probabilities and specified probabilities.
Also the nearest mean classifier is implemented to classify the test samples of each class using equal prior class probabilities. The probability of classification error is estimated for each case. See M-File for details. Requirements: ยท MATLAB Release: R13
Gaussian and Nearest Mean Classifiers is a Matlab script for Statistics and Probability scripts design by Himanshu Ray.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
Gaussian and Nearest Mean Classifiers - Estimating probability of Classification error for Gaussian and Nearest Mean Classifiers
Operating system:Windows / Linux / Mac OS / BSD / Solaris
Gaussian and Nearest Mean Classifiers script details 
