Classifying multiple (2+) features
17 views (last 30 days)
Hi All, I have 2 (or more) feature variables in the dataset which are labeled 0 and 1 (total 2 classes). I am now using classify command in Matlab to do LDA classification. I am wondering if I use 3 or more features, would "classify" command accurately do the classification for me or not? It other words, does it classify using multiple features or only good for have 2 features in the dataset.
My other question is: how does it (classify/LDA) different from fisher's algorithm? Is it the same? Do I have to go to SVM instead all the above?
I would appreciate your assistance/guid on above. Best,
Walter Roberson on 20 Oct 2015
classify() uses Discriminant Analysis and can handle multiple classes.
For other classification techniques, you can use the new http://www.mathworks.com/help/stats/classificationecoc-class.html which can handle any binary classifier (not just SVM)