The points are defined by their 2D coordinates in the image plane and then the challenge is to come up with a parameter that determines how evenly they're distributed throughout the …

I have a 2D square, and I have a set of points inside it, say, 1000 points. I need a way to see if the distribution of points inside the square are spread out (or more or less uniformly distributed) or …

Nov 9, 2010 · In a 2D pixel array, I need an efficient algorithm that will select p% of pixels that are the most spread out. This can be done adaptively by selecting points, then repeatedly …

Dec 14, 2022 · One attractive approach that immediately yields several solutions is to use a measure of the distance between the empirical copula and the independence copula (which …

What is the best way to calculate a single value which will accurately describe the spread of the data points? 2 Answers. You have computed the weighted mean. x¯∗ = ∑wixi x ¯ ∗ = ∑ w i x i. …

Feb 28, 2015 · My suggestion, having now heard more of what you want, is to compute the interpoint distance matrix between all points in the set. I've got a tool on the file exchange that …

Mar 30, 2018 · I have a 2D-distribution of points (roughly speaking, two np.arrays, x and y) as shown in the figure attached. How can I select the points of the distribution that are part of the …

Jun 1, 2012 · It is important to have a quantitative measure of uniformity to enable recognition of uniformly distributed points by computers without human intervention. The measures of …

We look at two types of uniformity measures. Point-to-point uniformity measures take into account the distances between pairs of points; these are good for determining how uniformly the points …

Oct 22, 2012 · The Kolmogorov-Smirnov test (a measure of the distance between 2 distributions) is a good test for this. First let's generate and plot some Gaussian-distributed points so you …