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The title of the question certainly doesn't explain very well what I want to do. Please keep reading to get a better understanding!

I have a cluster of nodes. Each node represents a building and it has some attributes. For example: 

x coordinate
y coordinate
population

What I want is to create clusters of these nodes using a method, which will give me clusters with equal population (based on the attribute).

For example if I want to create 3 clusters (A,B,C) I need the sum of the population of each cluster to be equal to each other like:

sum(population)(A) = sum(population)(B) = sum(population)(C)

I don't know how to call this exactly. Perhaps something like: Create equally sized clusters based on one attribute..

My question is if I can do this using R statistics or some other tool.

user1919
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    Maybe [this](http://stackoverflow.com/questions/27804926/in-r-is-there-an-algorithm-to-create-approximately-equal-sized-clusters?rq=1) can help – Tensibai Aug 31 '15 at 09:22
  • Thank you. Unfortunately its not what I am looking for. I want to create equal clusters not based on the number of the nodes but based on the number of the population, which is (the population) an attribute of the nodes. – user1919 Aug 31 '15 at 09:35

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