spark-knn
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Getting K nearest neighbor for each data point
Would you please advise how to get K nearest neighbors for each data point using the python interface? I believe this is possible based on " KNN itself is also exposed for advanced usage which returns arbitrary columns associated with found neighbors. "
I have the same question
Already answered at https://github.com/saurfang/spark-knn/issues/40