I want to know Distance of KNN Search Using DTW(dynamic time warping)

HI

as you see tilte, I want to get Distance form knnsearch using dtw function

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X = [Gyrx(:,1:9)';zeros(300,601)]; % data X = [309X601]

Y = Gyrx(:,10)'; % data Y = [1X601]

tic

[~, Dist] = knnsearch(X,Y,'Distance',@distfun_dtw);

toc

function Dis = distfun_dtw(Y,X)

Dis = [];

for i =1:length(X(:,1))

D=dtw(X(i,:),Y);

Dis = [D2;D];

end

end

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This is my code. I want to know minmum distance between Xdata and Ydata using dtw, Not euclidean distance

And also I hope this code should be fast because I try to apply knnsearch in real time classification

Please answer the question.

Thank you

Answer 1

[Eamonn]

Sure, but matlab has DWT built in

https://www.mathworks.com/help/signal/ref/dtw.html

Answer 2

[Eamonn]

Hello., Use the UCR suite, it is at least 10,000 times faster than real time (for say 100Hz data)

Also, read this tutorial. https://www.cs.unm.edu/~mueen/DTW.pdf

https://www.cs.ucr.edu/~eamonn/UCRsuite.html

[JeongHeon Kim]

Thank you.

But your link with code and tutorial only has C code.

Can I get the Matlab code instead of C code?