Hi Dev Team, thanks for the package, its one of my favs since y'all implimenation is straightforward and even include some improvements from the paper.

My issue is that recently I used the package to cluster large corpus of text (the tf-idf of the corpus). The RAM on my computer instance is 1.5 TB so there definately is room for memory.

But what tends to happen is, if I pass an array/dataframe with more that 50k observations the program shuts down (usually at the "self.kernel_size = _core.get_kernel_size(self.distances, self.fraction" line). The data sent in is all numeric and the distances are calculated using from sklearn.metrics.pairwise.cosine_similarity.

When it shuts down it gives no error message except:
"The python program has shutdown"