N-Dimensional and Circular Histogram Counts
Given a set of n-dimensional vectors and an n-dimensional histogram, compute the number of vectors that fall into each bin. The histogram is given as rectilinear grid (i.e. the bins can vary in size along each dimension). Dimensions can also be marked as circular to create polar or cylindrical grids or their generalizations. The input vector format must match the grid, for example, if a polar grid is used, the input vectors must be given in polar coordinates. Coordinates are not converted in the function.
Example:
load clown;
[y,x] = find(X>max(X(:))*0.5);
[a,r] = cart2pol(x-size(X,2)/2,y-size(X,1)/2);
abinedges = linspace(0,2*pi,65);
abinedges(end) = [];
rbinedges = log10(logspace(0,1,65)).*(size(X,2)/2);
c = histcountsn([a,r],{abinedges,rbinedges},[true,false]);
Cite As
Paul (2024). N-Dimensional and Circular Histogram Counts (https://www.mathworks.com/matlabcentral/fileexchange/50401-n-dimensional-and-circular-histogram-counts), MATLAB Central File Exchange. Retrieved .
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Inspired by: 2D Histogram Calculation
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