parallelDist
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R Package: Parallel Distance Matrix Computation using Multiple Threads
I am on osx using Emacs. Installed the package via install.packages I am trying to run parDist on a 160544x1800 matrix with 8Gb of RAM. The process runs for a...
Hi Alex, Thanks for your job! I have added support for matrices have NA value. Please review and let me know if this adds value. ## What? - Added support...
Hi Alex, your package seems to be a great help when working with large data sets, as I do. Is there a chance to quickly include the Gower distance, which...
Currently, in my experience, the input 'x' has to be a dense matrix. It would be great if you can provide support for sparse matrices, specially ones from the 'Matrix'...
Hi all. I just wanted to draw your attention to this quick / simple [benchmark comparing parallelDist and other packges to calculate euclidean distances in a large matrix](https://stackoverflow.com/questions/66943002/most-efficient-way-to-calculate-euclidean-distances-in-a-large-matrix). The performance...
Hi, Is it possible to add the Spearman and Pearson correlation-based distances? I can't implement spearman by myself as a user-defined function because I lack the knowledge in C++. Thanks,...
The package produced a very large dist object of length 1479489606. Which is fantastic from a computing perspective. However, because it is not a matrix (and as.matrix doesn't work on...
There are a growing number of packages that include header-only C++ libraries in the `inst/` folder to allow methods to be linked and used on the C++ side of a...
Hi Alex, Fantastic package! Thanks. I would request you to support `y` along with `x` to compute distances between each row(column) pair between `x` and `y` ([proxy](https://rdrr.io/cran/proxy/man/dist.html) implements an non-parallelized...