Approximating Nearest neighbor search is one of the application of locality
sensitive hashing.There are five major methods.
- Bit sampling for Hamming distance
- Min-wise independent permutations
- Nilsimsa Hash
- Random projection
- Stable distributions
Bit sampling method is fairly straight forward. A reference for the
implementation of Random projection method can be taken from *lshash
<https://pypi.python.org/pypi/lshash>* library.
I'm looking forward to see comments for this from prospective mentors of
this project.
Thank you.
Maheshakya.
On Tue, Feb 25, 2014 at 8:24 AM, Maheshakya Wijewardena <
pmaheshak...@gmail.com> wrote:
> Hi,
> I have looked into this project idea. I have studied this method and I
> like to discuss further on this.
> I would like to know who the mentors for this project are and to get some
> insight on how to begin.
>
> Regards,
> Maheshakya,
> --
> Undergraduate,
> Department of Computer Science and Engineering,
> Faculty of Engineering.
> University of Moratuwa,
> Sri Lanka
>
--
Undergraduate,
Department of Computer Science and Engineering,
Faculty of Engineering.
University of Moratuwa,
Sri Lanka
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