As per my understanding, we can follow the following steps:
1) Each matrix’s values should be normalised so that they fall between 0 and 1. We can use “mat2gray()” function for this.
2) The “hist3()” function can be used to produce a 2D histogram from the two matrices. A bivariate histogram is produced by this function with a predetermined number of bins in each dimension.
3)Convert the counts in the histogram to percentages of the entire area.
4) Use the “imagesc()” function to create a heatmap of the percentage of data.
