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June 21st, 2016, 10:01 AM   #1
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Overlapping clouds of points: maximize unique intersection, minimize points count

Hello guys. I'm facing a problem at work, and would like to know if maybe there is ready information about some part of the following problem. Maybe you guys can give me a keyword so i can find more information, or hopefully a scientific article.

Here is the problem:

The matrices used here have all the same size, and have 3 dimensions. The values at any position can only be 1 or 0. A value of one is never surrounded by only zeroes (this matrix is the representation of a gas cloud within a certain space).
Find the smallest group of points (they can be be scattered in any way) that cover the most number of unique clouds. (actually, it has to cover at least X%, where X is an arbitraty input parameter)
Step 1
Add all matrices
Step 2

I have ideas of my own, but do not want to reinvent the wheel. That being said, your ideas are very much welcome! Maybe we can discuss some.

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June 21st, 2016, 11:47 AM   #2
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Guys, i will add more information, i realize now that my post is sorely lacking in detail. I apologize for that. I tried deleting the post, but could not. I would like to make a new post later, properly detailed. Can a mod delete my thread please?
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June 21st, 2016, 05:14 PM   #3
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Click on "edit" - there is a delete option.
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