On 02/26/2014 10:13 AM, Maheshakya Wijewardena wrote:
The method "Bit sampling for Hamming distance" is already included in "brute" algorithm as the metric "hamming" in Nearest neighbor search. Hence, I think that does not need to be implemented as a LSH algorithm
I would also rather focus on non-binary representations.There is no efficient way to work with binary data in numpy afaik -- at least none that is supported in sklearn.
I'm very interested in this project but unfortunately I don't have the time to mentor.
Cheers, Andy
On Wed, Feb 26, 2014 at 12:46 AM, Maheshakya Wijewardena <[email protected] <mailto:[email protected]>> wrote: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 <[email protected] <mailto:[email protected]>> 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 -- Undergraduate, Department of Computer Science and Engineering, Faculty of Engineering. University of Moratuwa, Sri Lanka ------------------------------------------------------------------------------ Flow-based real-time traffic analytics software. Cisco certified tool. Monitor traffic, SLAs, QoS, Medianet, WAAS etc. with NetFlow Analyzer Customize your own dashboards, set traffic alerts and generate reports. Network behavioral analysis & security monitoring. All-in-one tool. http://pubads.g.doubleclick.net/gampad/clk?id=126839071&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
------------------------------------------------------------------------------ Flow-based real-time traffic analytics software. Cisco certified tool. Monitor traffic, SLAs, QoS, Medianet, WAAS etc. with NetFlow Analyzer Customize your own dashboards, set traffic alerts and generate reports. Network behavioral analysis & security monitoring. All-in-one tool. http://pubads.g.doubleclick.net/gampad/clk?id=126839071&iu=/4140/ostg.clktrk
_______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
