On Thu, Oct 24, 2013 at 3:50 AM, Gordon Mohr <gojomo-pg...@xavvy.com> wrote:
> On 9/22/13 4:38 PM, Stas Kelvich wrote: > >> Hello, hackers. >> >> Here is the patch that introduces kNN search for cubes with >> euclidean, taxicab and chebyshev distances. >> > > Thanks for this! I decided to give the patch a try at the bleeding edge > with some high-dimensional vectors, specifically the 1.4 million > 1000-dimensional Freebase entity vectors from the Google 'word2vec' project: > I believe the curse of dimensionality is affecting you here. I think it is impossible to get an improvement over sequential scan for 1000 dimensional vectors. Read here: http://en.wikipedia.org/wiki/Curse_of_dimensionality#k-nearest_neighbor_classification Regards Marcin Mańk
