Gaussian and Nearest Mean Classifiers

Estimating probability of Classification error for Gaussian and Nearest Mean Classifiers

Description

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.

• MATLAB release: MATLAB 6.5 (R13)

[Alpa Bhesania]

This file is great help to me in my research.
Thank you for posting it.

[mohammed mohammed]

Please hilp me i wont code for nearest mean classify for my project

[mohamed mohamed]

This file help me very well in my research it is great.
Think you

[durrani nukman]

Can this code used for 2-class problem. Is there any suggestion for me to run 62x2000 input data. Thank you.