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K-Nearest Neighbors produces NaNs when comparing equal samples #68

Closed GoogleCodeExporter closed 8 years ago

GoogleCodeExporter commented 8 years ago 
As related by user Mauricio Cirelli, the current k-NN implementation may 
produce a NaN because of the way it converts distances into similarity 
measures.

Original issue reported on code.google.com by cesarso...@gmail.com on 11 Sep 2013 at 9:36

GoogleCodeExporter commented 8 years ago 
Fixed on the 2.11 release.

Original comment by cesarso...@gmail.com on 27 Oct 2013 at 4:50