I want to know Distance of KNN Search Using DTW(dynamic time warping)
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HI
as you see tilte, I want to get Distance form knnsearch using dtw function
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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
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Réponses (2)
Eamonn
le 18 Oct 2019
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
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