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Use for data science questions related to the programming language Python. Not intended for general coding questions (which should be asked on Stack Overflow).
0
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Accepted
HDBSCAN Outlier Detection and labeling
GLOSH works with regard to local outliers, thus if a region is very dense and then has a few sparse points near it GLOSH will rate those sparse points as more outlying than other noise points in spars …
4
votes
Can you l2 normalize word2vec vectors for density clustering?
Euclidean distances between l2-normalized word vectors is equivalent to the angular distance between the word vectors. This is not the same as cosine distance, but it is very similar. It is worth noti …