Hi, I have thousands of matrices, each of (130x160) with values (range of -25 up to +25) consisting of outliers.The values of the matrix depending on spatial data x(1:130) and Y(1:160). Outliers are often within the range and sometimes not only single values, clustering across 2 or 3 values across the raws and/or columns (X or Y) of the matrix.
I already tried "filloutliers" and deleteoutliers (https://de.mathworks.com/matlabcentral/fileexchange/3961-deleteoutliers)
with rather average level of satisfaction.
Can anyone recommend an appropriate method to detect the outliers? What kind of ML algorithms could I try?