data matrix for classification learner

Hi, I am explaining my problem to you, I have a 283x148096 data matrix that I need to perform the classification through the calssification learner, but the size does not allow me to do it because matlab crashes, so I thought of reducing the matrix through the windowing, so you have 144 samples and 1024 numbers of windows. Can anyone tell me how I could do? thanks

[Adam Danz]

I'm reluctant to reproduce the crash right now because I don't want to lose some other stuff I'm working on but I find it odd that matlab would crash because of that data size. Do you know what kind of clustering you want to do?

This code reproduces your dataset and applies k-means clustering. It completes in less than 4 seconds.

tic; 
data = rand(283,148096); 
toc  % < 1 sec

tic 
c = kmeans(data,5); 
toc % < 2 sec

[Athul Prakash]

Could you elaborate on the question? What kind of classifier were you using?