[mlpack-git] [mlpack] which part of mlpack is to partition the data points to different buckets according to distance? (#529)

[Ryan Curtin]

Hi Haifeng,

I'm not 100% sure what you mean.  If you are looking for the LSH code, you can find it here:
https://github.com/mlpack/mlpack/tree/master/src/mlpack/methods/lsh

I suppose maybe you could use LSH to hash your points into different buckets, and then extract the buckets themselves?

If you're looking for a different algorithm to do high-dimensional clustering, all I can suggest is possibly k-means; I think that's the only technique mlpack has implemented that would be useful in your case.

I hope this helps... please let me know if I can clarify anything.

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Reply to this email directly or view it on GitHub:
https://github.com/mlpack/mlpack/issues/529#issuecomment-190764424
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