Respondida
Error using vertcat Dimensions of arrays being concatenated are not consistent.
In the RRTSS1 script, "dist" is defined inside an "if" statement without any "else" for "dist" value. So if Reach=0, then ans =...

alrededor de 6 años hace | 0

Respondida
How to divide data into train/valid/test sets such that one sample from every class is selected?
Set 'Stratify' option to 'True'. cv = cvpartition(data(:,1),'KFold',5,'Stratify',true);

alrededor de 6 años hace | 0

| aceptada

Respondida
Determine first and second derivatives, without using builtin diff function, using forward differencing with 0 dx error
dfdx = zeros(size(f)); d2fdx2 = zeros(size(f)); dfdx(2:end) = f(2:end)-f(1:end-1); d2fdx2(2:end) = dfdx(2:end) - dfdx(1:e...

alrededor de 6 años hace | 0

| aceptada

Respondida
How to calculate the optimal thickness
Assuming, optimal thickness yields maximum refraction, m = find(R==max(R)) optimal_thickness = d(m) % ans = % 1.9192e-07...

alrededor de 6 años hace | 0

| aceptada

Respondida
Problem with the TreeBagger Command
The Training_Output variable has to be a vector of size 6768X1 instead of a matrix.

alrededor de 6 años hace | 0

Respondida
how i can use confusion_matrix for result of image classification using knn?
yhat = predict(model,x); C = confusionmat(y,yhat)

alrededor de 6 años hace | 0

Respondida
How do I improve my result of KNN classification using confusion matrix?
yhat = predict(model,x); [C,order] = confusionmat(y,yhat); Use this help file to understand how to use C and order: https://w...

alrededor de 6 años hace | 0

Respondida
Convolution of two piecewise signals returning zero (exercise 2 in attachment)
t = -10:1/10:10; x = zeros(1,length(t)); h = zeros(1,length(t)); for i=1:numel(t) if t(i)<0 || t(i)>2 x(i) = 0;...

alrededor de 6 años hace | 0

| aceptada

Respondida
transform column and row data of logical matrix to vector(N X 2)
logical_matrix = [0 0 0 0; 0 1 0 0; 0 0 0 0; 0 0 1 0; 0 1 0 1]; [i,j] = find(logical_matrix); vector_matrix = [...

alrededor de 6 años hace | 0

| aceptada