I'm looking for an implementation of Similarity Forest algorithm as defined by Sathe et al. in their KDD paper (https://www.kdd.org/kdd2017/papers/view/similarity-forests). So far, I have found this one in Python https://github.com/rrricharrrd/similarity-forest, but the author states himselves that his version is "Basic (not especially-optimised)". I do not get good results with this version of the algorithm for my specific study and I wonder if I would get better results with more opportunities of parameter tuning. Would other versions be available in R or Python ?

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