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Rui Mauaie


Aktiv seit 2018

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kpca spe and T^2 contribution plot
I need help, I'm trying to find out the code for KPCA used to plot contribution plot (Barplot) for SPE(Q) and T^2 but so far I d...

fast 6 Jahre vor | 0 Antworten | 0

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Contribution plot using KPCA T square and Q
I'm trying to plot contribution plot (T^2 and Q) using KPCA, but I didn't succed so far, is there anyone who can provide a code ...

fast 6 Jahre vor | 1 Antwort | 0

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I'm trying to use LDA for fault diagnosis but I'm get problems to runs it
code load d11_te.dat d11 = zscore(d11); size 480*50 d11_te = zscore(d11_te) size 960*50 num1=size(d11,1); num2=siz...

etwa 6 Jahre vor | 0 Antworten | 0

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hi I'm using a code along with its function but when I run the code I got error related to the function may someone help me
from my code [EVC,LATENT] = KPCA(X,options); Ktest = constructKernel(X,X,options); TKtest = constructKernel(XT,X,options); ...

etwa 6 Jahre vor | 0 Antworten | 0

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I'm following the code below from that code they got a figure with three data, but mine when I plot I got two is there anything wrong I followed the step I'm suppose to get three as well
this the example I'm following n1a=100; n1b=100; n2=100; X1a=[randn(2,n1a).*repmat([1;2],[1 n1a])+repmat([-6;0],[1 n1a])]; ...

etwa 6 Jahre vor | 0 Antworten | 0

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I want to get Y = 906*1 but I got 2880
n1a=960; n1b=960; n2=960; load Normal load fault1 load fault3 X=[Normal fault1 fault3]; Y=[ones(n1a+n1b,1);2*ones(n2,1)]...

etwa 6 Jahre vor | 0 Antworten | 0

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Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.202823e-18.
hi guys I need a help I'm using LDA but when I run I got the message aforementioned S1=cov(d1'); S2=cov(d2'); S3=cov(d3'); ...

etwa 6 Jahre vor | 4 Antworten | 0

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FALSE ALARM, MISS DETECTION RATE
I'm using PCA, KPCA I got the data after that I got the SPE and T^2 now I want to calculate False alarm, miss detection rate... ...

etwa 6 Jahre vor | 0 Antworten | 0

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FDR, MDR,FAR
may someone provide the code for False detection rate, miss detection rate for PCA and KPCA

etwa 6 Jahre vor | 0 Antworten | 0

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I have problem on defining the variable U, I provide the code below and the picture which contain the dimension of each variable that the code allowed me to get so far, help
%% data processing load('train.mat'); X=train; [n,m]=size(X); c=mean(X);e=std(X); %% data scaling X0=(...

etwa 6 Jahre vor | 0 Antworten | 0

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when I run this code I get Undefined function or variable 'U'.
for i=1:n h=u(1:n,i:i); b=a(i,1); if b>0.0001 U(1:n,i:i)=h/sqrt(b); end end...

etwa 6 Jahre vor | 1 Antwort | 0

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