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{{Machine learning bar}}
The '''Hoshen–Kopelman algorithm''' is a simple and efficient [[algorithm]] for labeling [[Cluster analysis|clusters]] on a grid. Where the grid is a regular [[Artificial neural network|network]] of cells, with the cells being either occupied or unoccupied. This algorithm is based on a well-known [[Disjoint-set data structure|union-finding algorithm]].<ref>https://www.cs.princeton.edu/~rs/AlgsDS07/01UnionFind.pdf</ref> The algorithm was originally described
== Percolation theory ==
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