Re: Euclidean distance of all pairwise combinations (redundants)
- To: mathgroup at smc.vnet.net
- Subject: [mg128690] Re: Euclidean distance of all pairwise combinations (redundants)
- From: Joseph Gwinn <joegwinn at comcast.net>
- Date: Sun, 18 Nov 2012 03:55:58 -0500 (EST)
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- References: <k87j6e$s4u$1@smc.vnet.net>
In article <k87j6e$s4u$1 at smc.vnet.net>, Dana DeLouis <dana01 at me.com> wrote: > > Any ideas on how to get the euclidean distance between all the points > including redundants and self references? > > Just for fun, and to add complexity, heres one more but with the output > in table form. :>) > > > list={{1,1},{2,2},{3,3},{4,5}}; > > (* Edge List - el *) > > el=UndirectedEdge@@@Subsets[list,{2}]; > > g=Graph[el,EdgeWeight->EuclideanDistance@@@el]; > > > MatrixForm[GraphDistanceMatrix[g],TableHeadings->{VertexList[g],VertexList[g]} > ] > > > = = = = = = = = = = > HTH :>) > Mac & Math 8 > =E2=80=A8Dana DeLouis > =E2=80=A8= = = = = = = = = = > > > > > On Tuesday, November 13, 2012 10:35:53 PM UTC-8, Jesse Pisel 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? What I've used is Outer[EuclideanDistance,list,list,1]. Joe Gwinn