The graph which is obtained in the output, shows the percentage of the false neighbours with embedding dimension.Codes were tested with Lorenz,Rossler and Henon time series.
Cite As
mirwais (2020). Minimum embedding dimension (https://www.mathworks.com/matlabcentral/fileexchange/37239-minimum-embedding-dimension), MATLAB Central File Exchange. Retrieved .
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Peyman aghaiee (view profile)
Ovee Matlab (view profile)
why has the author mentioned this comment on each of his submission - These codes are mine. I don't know how did you do but this is not ethic. ?? sort of lame.. on top of that he doesnt reply any querry.
psousa (view profile)
Saikat Chakraborty (view profile)
horas man (view profile)
how could i calculate the optimal value of 'm' and 'tau' ?
thanks
horas man (view profile)
how could i calculate the optimal value of 'm' and 'tau' ?
thanks
Robin Hall (view profile)
I am very new to both Matlab and nonlinear dynamics. Can someone please help me by providing a code sample of how to use this function to calculate the embedding dimension for any chaotic system. Thanks,
pk osanmaz (view profile)
nima safari (view profile)
Stephanie (view profile)
I have a question on how this is interpreted - is the goal to minimize false neighbors as much as possible for the embedding dimension? I'm trying to use this for some analyses such as entropy and I'm wondering if there is a good threshold for percentage of false nearest neighbors to shoot for. Additionally, is there a minimum number of samples to shoot for? I know entropy is good with samples in the hundreds but I'm curious what the accuracy/number of samples curve is like with this. Thanks!
mirwais (view profile)
These codes are mine. I don't know how did you do but this is not ethic.