data matrix for classification learner
조회 수: 1 (최근 30일)
이전 댓글 표시
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
댓글 수: 2
Adam Danz
2019년 11월 14일
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
2019년 11월 21일
Could you elaborate on the question? What kind of classifier were you using?
답변 (0개)
참고 항목
카테고리
Help Center 및 File Exchange에서 Classification에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!