A simple SVM example

Hi everyone Can anyone help me to understand the code of one simple linear SVM with binary classification? How i use LibSVM?

[Greg Athanasiadis]

And how can i plot it?

[Walter Roberson]

Is there a particular reason why you are not using the svm routines for Statistics toolbox?

[Greg Athanasiadis]

I want to explore step by step the matlab code

[Walter Roberson]

libsvm will not help in that case, as libsvm is not written in MATLAB.

Perhaps there is code in the File Exchange

[mizuki]

If you want to know steps to run SVM on MATLAB, use fitcsvm (binary classification) or fitcecoc (multiclass classification).

Answer 1

[Walter Roberson]

https://www.mathworks.com/matlabcentral/fileexchange/51248-svm

And see https://www.mathworks.com/matlabcentral/fileexchange/?term=tag%3Asvm

Answer 2

[hendra kurnia febriawan]

Hi all;

I read Hsu et al. (2003) 'A Practical Guide to Support Vector Classification' and they proposed procedures in SVM. One of them is conduct simple scaling on the data before applying SVM. The purpose is to avoid attributes in greater numeric ranges dominating those in smaller numeric ranges. I have a question, do the implementation of SVM in Matlab using fitcsvm and fitcecoc already contain scaling for the dataset (ex:for image classification) or we need to do that before running the fitcecoc function? Thank you in advance.