How to identify the class is labeled or not? help me in finding target matrix??

sorry for this silly question. actually, I want to classify a 2D data which I obtained after performing some operation. now I have to classify this data using patternnet. for that, i want a "target matrix".please help me in this. I have 51 classes in my dataset.

here i have a matrix of size 7701*51. now i want to classify this matrix in 51 classes(as these many individuals i have in the dataset). please help me, how can i generate target matrix if i want to do classification using nprtool.

[YT]

I'm pretty new to neural networks myself, but I'll try to help. Do you only have 1 matrix with size 7701x51? Because I'm a bit confused about your formulation. In my experience, in most cases you have an input matrix X with size samples-by-features and a target matrix T with size samples-by-classes.

% Your complete data
%
%     f1 f2 f3 f4  class1  class2  class3
%D = [0.1 10 5 2.3;1      0       0;
%     0.2 12 4 1.3;0      1       0;
%     0.4 15 3 1.1;0      0       1;]

% Your input matrix
%     f1 f2 f3 f4
%X = [0.1 10 5 2.3;
%     0.2 12 4 1.3;
%     0.4 15 3 1.1]

% Your target matrix
%    class1  class2  class3
%T = [1      0       0;
%     0      1       0;
%     0      0       1]

Maybe it's a good idea to attach a picture (or your data) as an attachment (using the paperclip icon).

[user06]

sir i have 51 classes and each class contains 300 samples. i have extracted features using CNN. the result of the CNN has the size 7701*51(as i have divided 151 images for training and 149 for testing). now i want to do classification using nprtool. for that i have to provide target matrix. and i am unable to understand how can i generate that target matrix.

Answer 1

[Greg Heath]

If you have N I-dimensional input vectors to classify into one of c independent classes, the size of the input matrix is

 [ I N ] = size(input)

corresponding to a target matrix with N c-dimensional 0-1 unit sum vectors

 [ c N ] = size(target)

that yields

 sum(target) = ones(1,N)

From the info in the question,

 c = 51 
 N = 51*300 = 15,300

Therefore the target matrix has columns from eye(51) with 50 zeros and the single "1" indicates the class.

However, it is not clear from the description what I (the size of the input vectors) is supposed to be.

Hope this helps

Thank you for formally accepting my answer

Greg

[user06]

actually sir i want to calculate target matrix....how can i do that??

[Greg Heath]

See the revision to my answer.