I am using a moving average filter to smooth data for outlier removal. By changing the number of average points, I am getting different result.
My data are multi-dimensional feature vectors.
I applied the moving average to the entire matrix and then on individual variables.
They give different results.
So, how to choose/guess the number of points to average over and should it be applied on the entire matrix or on a one by one basis?