Fast computation of the first discrete homology group
By: Jacob Ender, Chris Kapulkin
Potential Business Impact:
Finds hidden patterns in connected data faster.
We present a new algorithm for computing the first discrete homology group of a graph. By testing the algorithm on different data sets of random graphs, we find that it significantly outperforms other known algorithms.
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