how to binary classification using SVM

Hi every body

I like to ask how can I make binary classification using SVM to 1000 vector with the length of 256

that mean F= 1000*256

that mean 500 vectors from the first class and another 500 from the second class

Thank you

Answer 1

[Walter Roberson]

Make the feature vectors into column vectors, and put all of them together in a 2D array, so size 256 by 1000.

Create a vector of length 1000 which has 1 for each member of the first class and 2 for each member of the second class.

call fitcsvm()