how can I determine the density in each quadrant or small region of randomly uniformly deployed points in a 3D plot

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I have a 3D plot of random and uniformly distributed points. how could i determine the density in each quardrant/sector or subdivided area.
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Tamoor Shafique
Tamoor Shafique on 6 Sep 2020
so how can i determine linear distances of each point from others in each sub cube? would it be an AxB matrics for the distances in each sub cube where A is node number and B be the total number of nodes in that subcube?
I want to do some computation on it but i need to understand how to ontain the data first.
Walter Roberson
Walter Roberson on 6 Sep 2020
so how can i determine linear distances of each point from others in each sub cube
Separate the points according to sub-cube, and pdist() them. If you have a subcube number already for each coordinate, then you can use
splitapply(@(points) {pdist(points)}, list_of_coordinates, subcube_number_for_each_coordinate)

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