I created a parallelized implementation of Agglomerative clustering that's many times faster than existing implementations and has a better runtime

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I've been working on a new implementation of Agglomerative clustering called Reciprocal Agglomerative Clustering (RAC) based off of this paper: https://arxiv.org/abs/2105.11653. The short of it is Agglomerative clustering can be broken down into finding and merging pairs of reciprocal nearest neighbors in parallel, as long as the linkage function is one of the following:

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