Re: Euclidean distance of all pairwise combinations (redundants)

*To*: mathgroup at smc.vnet.net*Subject*: [mg128668] Re: Euclidean distance of all pairwise combinations (redundants)*From*: Jesse Pisel <jessepisel at gmail.com>*Date*: Thu, 15 Nov 2012 03:58:35 -0500 (EST)*Delivered-to*: l-mathgroup@mail-archive0.wolfram.com*Delivered-to*: l-mathgroup@wolfram.com*Delivered-to*: mathgroup-newout@smc.vnet.net*Delivered-to*: mathgroup-newsend@smc.vnet.net*References*: <20121114062906.D261769B8@smc.vnet.net>

Thank you for all the suggestions everyone, all the different codes worked well and they all did exactly what I wanted to do with my data set. Thank you for all the help! I ended up just using Tuples instead of Subset just for ease of use as Ralph suggested. On Wed, Nov 14, 2012 at 5:23 AM, Sseziwa Mukasa <mukasa at gmail.com> wrote: > Outer[EuclideanDistance[#,#]&,list,list] > > On Nov 14, 2012, at 1:29 AM, Jesse Pisel <jessepisel at gmail.com> wrote: > > > I have been having a tough time trying to figure out how to include all > red undant pairwise combinations in my results for the euclidean distance > between a set of points. I have a set of points with xy coordinates and > want the euclidean distance between each point including the point and > itself. So if my points in xy space are list = {{1, 1}, {2, 2}, {3, 3}} for > example, I want the distance from {1, 1} to {1, 1}, {1, 1} to {2, 2}, and > {2, 2} to {3, 3} etc. for each point for a total of 9 distances all > together. The EuclideanDistance function removes the redundant distances > that I want retained in the results. I have been using this code just to > play with data but would like to be able to expand up to 500+ points: > > > > list = {{1, 1}, {2, 2}, {3, 3}} > > EuclideanDistance @@@ Subsets[list, {2}] > > > > Any ideas on how to get the euclidean distance between all the points > including redundants and self references? > > > > > -- *Jesse Pisel* 970-901-5455 P.O. Box 18471 Golden, CO 80401

**References**:**Euclidean distance of all pairwise combinations (redundants)***From:*Jesse Pisel <jessepisel@gmail.com>