[mlpack-git] [mlpack] Maximum Inner-Product Search using Tree Data-structures in MLPACK ? (#427)

Ryan Curtin notifications at github.com
Sun Apr 5 19:02:32 EDT 2015


Hmm, I should also add, I don't know how fast it will actually perform in practice, or how useful it will be.  Trees on high-dimensional sparse data don't generally work very well, although in this case we are using the cover tree, whose runtime depends instead on a measure of intrinsic dimensionality, so, maybe you can get away with using sparse data here (if it's intrinsically low-dimensional).  Either way, another consideration is that `arma::sp_mat`, in practice, can be slower than `arma::mat` unless the dimension of the sparse data is sufficiently high, and the sparsity level is high enough.  Exactly what "sufficiently high" and "high enough" mean are a bit hard to pin down... :)

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https://github.com/mlpack/mlpack/issues/427#issuecomment-89867943
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