Qury for SVM classifier : svmtrain function

I want to use SVMStruct = svmtrain(Training,Group) for two classes (Noraml and Abnormal)images classification purpose,and the size of the Training matrix is 1*40 cells each cell is 75 rows * 10 columns so I want to give this Training matrix to the svmtrain function but after calling the svmtrain function I got this error :

*Error using svmtrain (line 241)

TRAINING must be a numeric matrix*

Could anyone guide how to correct this error,because I am really stuck in that error,thank you.

The following are code lines what I tried :

clc

clear all;

close all;

%% After creating them in another section of code this section for loading two training matrices

load('norGlobal_matrix_train_variablek10bin25md.mat')

load('abGlobal_matrix_train_variablek10bin25md.mat')

counter_im=1;

[row ,col]=size(norGlobal_matrix_train_variablek10bin25md);

for i=1:10:row temp=norGlobal_matrix_train_variablek10bin25md(i:i+9,1:end);

    trasposed_temp=temp';

    normal_features {counter_im} =trasposed_temp;

    traininglabel{counter_im}=1 ; 

    counter_im=counter_im+1;

end

svm=svmtrain(normal_features{:}, traininglabel{:});

Answer 1

[Ping-Chang Shih]

Since the two training matrices are not attached to this question, the only conjecture I could make is some elements in "norGlobal_matrix_train_variablek10bin25md" are not numeric variables. An easy test can be perform to test if all elements in "normal_features" are numeric values: You can use

isnumeric([normal_features{:}]);

If this function returns 1, then all elements in normal_features are numeric. Please note that "normal_features{:}" is wrapped in brackets because "normal_features{:}" itself returns multiple arguments, but function "isnumeric" only takes one argument as input.

If this does not answer your question, please attach the "MAT" files required to execute the code.

[Isra Anwar]

Even I am facing the same issue. The size of the Training matrix is 40*1 cells each cell is 200*1 so I want to give this Training matrix to the svmtrain function but after calling the svmtrain function I got this error: Error using svmtrain (line 241) TRAINING must be a numeric matrix.

I have also attached my mat file.