Total members 11830 |It is currently Sun Jul 05, 2020 2:43 am Login / Join Codemiles

Java

C/C++

PHP

C#

HTML

CSS

ASP

Javascript

JQuery

AJAX

XSD

Python

Matlab

R Scripts

Weka





In this example we show how to create a naive Bayes classifier in MATLAB.
Code:

  BaysianObject
=NaiveBayes.fit(TrainData, class);
 


TrainData: contains the training data vectors.
class: is class label for each vector.


Now, you can we used the created object above, to classify a vector.
Code:

  classLabel
=  posterior(BaysianObject,testVector);
 




_________________
M. S. Rakha, Ph.D.
Queen's University
Canada


Author:
Mastermind
User avatar Posts: 2715
Have thanks: 74 time
Post new topic Reply to topic  [ 1 post ] 

  Related Posts  to : naive Bayes classifier in MATLAB
 Naive Bayes Classification (Binary )- Supervised Learning     -  
 random forest algorithm classifier     -  
 Random Search for tuning classifier parameters     -  
 Get the important variables of random forest classifier     -  
 Cost Sensitive Classifier Random Forest Java in weka     -  
 run .exe program in matlab     -  
 help me How do I load image from my pc to matlab     -  
 MATLAB clear memory     -  
 Matlab SVM training problem     -  
 Matlab basics examples     -  



Topic Tags

Matlab Classifier
cron





Powered by phpBB © 2000, 2002, 2005, 2007 phpBB Group
All copyrights reserved to codemiles.com 2007-2011
mileX v1.0 designed by codemiles team
Codemiles.com is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com