I am interested in using this method to calculate approximate entropy for a boids model.
Can anyone suggest how I can complete the calculation for a specified number of boids in two dimensional space?
(I have txt files with lists of integer values for x and y co-ordinates.
I have been working with your program and testing it. I am a bit confused with your implementation. It is possible to get negative ApEn values, which make no sense to me. Could you please explain this to me. Also, it seems that each consecutive pattern is subtracted not only from the "future" coming patterns but also from the "past" or preceding patterns, which, in your implementation, would count the same matching pattern combination twice (you are finding and absolute value of the difference between two patterns). How does that work?
19 May 2012
Fast Approximate Entropy
This function calculates Approximate Entropy (ApEn) of a time series data in a very efficient way.
Thanks for details regarding the paper and the brief explanation on parameters. I have managed to find out a little bit about them from another paper that you may also be interested in:
It provides some investigation and then considerations in terms of efficiency of App Entr. when it comes to decide about values of parameters. It's been very useful to me.