sorry if my question sounds very amateurish..
Actually I have a set of plots in 2d form
Let X=(x1,x2...xn) be a set of similar plots obtained
Y=(y1,y2...yn) be a set of plots similar
Intuitively i can see that all plots of X 'look similar' But how do i find the similarity between scores between 2 plots and prove that they have a high similarity score..??
I am using the R language... Can somebody help..??Thanks
It seems that you are thinking of the case in which both plots have a value at any given position. Maybe this method will work:
For each index i, calculate (xi-yi)^2. Sum over all i. Divide by n.
This just calculates the average difference between points in the plot, so 0 would be exactly the same, while larger values mean less similarity. Statistically, there's probably a more accurately method, but this is a good estimate for sure.