I'm trying to find the location between two points using google maps. Here is the code that I'm working with:
function initialize() {
var myOptions = {
center: new google.maps.LatLng(36.8813329,-103.6975488),
zoom: 4,
mapTypeId: google.maps.MapTypeId.ROADMAP
};
var map = new google.

it1352
0
2020-10-22

I'm trying to draw a graph where the distance between vertices correspond to the edge weights* and I've founde that in graphviz there is a way to draw such graph. Is there a way to do this in R with the igraph package (specfically with graph.adkacency)?
Thanks,
Noam
(as once have been asked: draw a graph where the distance between vertices corr

it1352
0
2020-10-22

There are different methods to calculate distance between two vectors of the same length: Euclidean, Manhattan, Hamming ...
I'm wondering about any method that would calculate distance between vectors of different length.
Solution The Euclidean distance formula finds the distance between any two points in Euclidean space.
A point in Euclidean sp

it1352
2
2020-10-22

First of all, I am new to R (I started yesterday).
I have two groups of points, data and centers, the first one of size n and the second of size K (for instance, n = 3823 and K = 10), and for each i in the first set, I need to find j in the second with the minimum distance.
My idea is simple: for each i, let dist[j] be the distance between i and

it1352
0
2020-10-22

I am trying to match a single search term against a dictionary of possible matches using a Levenshtein distance algorithm. The algorithm returns a distance expressed as number of operations required to convert the search string into the matched string.
I want to present the results in ranked percentage list of top "N" (say 10) matches.
Since the

it1352
0
2020-10-22

I have found the mahalanobis.dist function in package StatMatch (http://cran.r-project.org/web/packages/StatMatch/StatMatch.pdf) but it isn't doing exactly what I want. It seems to be calculating the mahalanobis distance from each observation in data.y to each observation in data.x
I would like to calculate the mahalanobis distance of one observa

it1352
0
2020-10-22

I was wondering if there was a function built into Python that can determine the distance between two rational numbers but without me telling it which number is larger.
e.g.
>>>distance(6,3)
3
>>>distance(3,6)
3
Obviously I could write a simple definition to calculate which is larger and then just do a simple subtraction:
def

it1352
1
2020-10-22

I have a dataframe with distances
df<-data.frame(site.x=c("A","A","A","B","B","C"),
site.y=c("B","C","D","C","D","D"),Distance=c(67,57,64,60,67,60))
I need to convert this to an object of class "dist" but I do not need to calculate a distance so therefore I cannon use the dist() function. Any advice?
Solution I had a similar problem not

it1352
1
2020-10-22

Why I see "Hello" words many times when I add timer.Dispose() to my code in release mode. Without timer.Dispose() I see "Hello" once. Thanks.
using System.Threading;
namespace ConsoleApplication1
{
class Program
{
static void Method(object state)
{
Console.WriteLine(state);
GC.Collect();

it1352
1
2020-10-22

Is Close() same as Dispose() or using statement. Is it necessary to call using statement even if Close is called?.
I know before disposing of an object, close should be called, so we close the resource and may it available to Dispose.
https://msdn.microsoft.com/en-us/library/aa355056(v=vs.110).aspx
says Close is same as Dispose.
Solution Close(

it1352
1
2020-10-22