data matrix for classification learner
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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
2 件のコメント
Adam Danz
2019 年 11 月 14 日
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
2019 年 11 月 21 日
Could you elaborate on the question? What kind of classifier were you using?
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