How can i applicate kernel Distribution with upper and lower bounds to a matrix (276x418)?

How can i applicate kernel Distribution with upper and lower bounds to a matrix (276x418)? and how can i write this code?

Answer 1

[the cyclist]

I don't fully understand your question. I suggest you write a more complete explanation of what you are trying to do. Remember, we don't know anything about your particular problem, except for what you share with us.

About the only thing I can suggest is that maybe the ksdensity function in the Statistics and Machine Learning Toolbox could be helpful.

[Davide Di Cesare]

thanks for the answer. I link you what i'm trying to do. http://www.mathworks.com/matlabcentral/fileexchange/19280-bivariant-kernel-density-estimation--v2-1-/content/html/gkde2test.html I'm trying to applicate this code :

clear
x=rand(10000,2);
% PDF with bounded support
p.xylim=[0 0 1 1];
gkde2(x,p);
% Compare with unbounded PDF estimate
figure;
gkde2(x);

to my matrix called "R". I explane better my problem. My objective is to modify R (optimize) by through kernel density estimation. The problem is that i don't really know how write this code.

[the cyclist]

What does your matrix R represent? The FEX code you mention is for plotting the joint density of two vectors of data. In this case, x(:,1) and x(:,2). You don't seem to have two such vectors.

[Davide Di Cesare]

R is a matrix (275x418) containing an index calculated ( index= log ((a^n)/ slope) where a and slope have been already calculated for each element )for each cell in the DEM file that I have uploaded in matlab ( this is also a matrix containing information about terrain morphology of an area that I'm studying. I know that te Code isn't correct for a Matrix. Could you help me to write the right code for my case?