If your data set still has false neighbors at the maximum dimension, you may wish to increase Max D and rerun the program. If you did not run AMI first, then you must enter a value here. It is safe to leave this at the default value unless you have good reason to alter it. Leave it be unless you have good reason to alter it or simply wish to study the sensitivity of the whole process to this number. Leave it be unless you have good reason to alter it or simply wish to study the sensitivity of the whole process to this number.
Neighbors tells the algorithm how many neighbors to begin searching to check falseness.
This will be reset during the performance of the program, and could be set to 2 now, if you wish. Unless you have some reason to alter this number, leave it at the default value. If you know that the data do not suffer from this, then you can set the value to some much lower number. A safe bet is 20. For simulated data, then 2 will do.