Why pca doesn't work on matlabR2013b?
이전 댓글 표시
I'm trying to run pca on a dataset that I have and I'm finding an error, then I tried:
TT=pca(randn(20,200));
It gives me the same following error message:
Undefined variable "classreg" or class "classreg.learning.internal.wnanmean".
Error in pca (line 297) mu = classreg.learning.internal.wnanmean(x, vWeights);
댓글 수: 4
Youssef Khmou
2014년 3월 11일
편집: Youssef Khmou
2014년 3월 11일
do you have the function wmspca?
>>which wmspca
Michelle
2014년 3월 11일
Anne
2014년 7월 10일
Michelle - Do you remember how you resolved this issue? I'm facing the same problem right now...
Thanks for any hints you may have!
Anne
2014년 7월 11일
If anyone else has this problem in the future, I just got it resolved through tech support.
It seems like MATLAB might be looking in the wrong directories for the definition of "classreg". This error occurs during installation sometimes. Please execute the following at the command line:
>> restoredefaulthpath; >> rehash toolboxcache; >> savepath;
Then, try executing your code.
답변 (2개)
Youssef Khmou
2014년 3월 11일
편집: Youssef Khmou
2014년 3월 11일
hi, i am not aware about the error, but technically this alternative multiscale pca needs some details , let us take the example you tried before, 20 signals each of length 200.
x=randn(200,20);
% additional parameters.
level = 5;
wname = 'sym4'; %
npc = 'kais';
[x_sim, qual, npc] = wmspca(x,level,wname,npc);
subplot(1,2,1); plot(x(:,1)); title(' original first signal')
subplot(1,2,2); plot(x_sim(:,1),'r'); title(' transformed first signal')
try to manipulate the parameters using Documentation
But that result damaged the correlation property of the random signals :
surf(cov(x))
figure; surf(cov(x_sim))
댓글 수: 2
Michelle
2014년 3월 11일
Youssef Khmou
2014년 3월 11일
try this function if you cant fix the error .
<http://crcv.ucf.edu/source/dimension%20reduction/pca.m>
Ilya
2014년 3월 11일
0 개 추천
I suggest that you get in touch with the tech support. (You can find their phone number and email at mathworks.com.) There may be an issue in your MATLAB installation.
카테고리
도움말 센터 및 File Exchange에서 Dimensionality Reduction and Feature Extraction에 대해 자세히 알아보기
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