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How to find distance between different points in a dataset as shown in scatter plot

4 vues (au cours des 30 derniers jours)
Arsal15
Arsal15 le 4 Fév 2016
Commenté : Brendan Hamm le 4 Fév 2016
Hi,
This is my scatter plot data of 5 simulated points and data in blue is my reference point and I want to compute the distance of this blue data from other data set one by one. As all data sets are of equal dimension [1x51] and when I am computing the distance then it is giving me error of Sub-scripted assignment dimension mismatch.
I have attached the ns.mat file and I want distance matrix with distance of (1 from 2),(1 from 3),(1 from 4),(1 from 5). Need your guidance.
if true
for time = 0:0.2:10
for i=1:numData
for j=1:len_data
% Get first sensor x and y coordinates
tx = [ns(1).x];
ty = [ns(1).y];
% Compute distances
distance_nhood(i,j) = sqrt((tx- ns(i).x(j)).^2 + (ty- ns(i).y(j)).^2);
% If distance is less than 5, draw a line to it.
% First find which nodes are closest.
neighbourNodes = find(distance_nhood < 5);
.............
%%coding continue
.............
end
end
connMatrix = ( distance_nhood< txRange);
% Get the number of reachable neighbors
neighborNodes = find(neighbourNodes (1, :) == 1); % logic to think
% Get the unreached neighbors
neigbborNodes = intersect(neighborNodes, find(visited(:) == 0));% logic to think
end
  4 commentaires
Arsal15
Arsal15 le 4 Fév 2016
Modifié(e) : Arsal15 le 4 Fév 2016
any better and efficient way to do this.
if true
XY = zeros(len_x,2);
xrest = zeros(numData-1,len_x);
yrest = zeros(numData-1,len_x);
dist_mat =zeros(len_x,numData-1);
XY = [ns(1).x',ns(1).y'];
for k = 2:numData
xrest(k,:) = ns(k).x;
yrest(k,:) = ns(k).y;
xrest = xrest';
yrest = yrest';
dist_mat(:,k) = sqrt((xrest(:,k)-XY(:,1)).^2+(yrest(:,k)-XY(:,2)).^2);
end
end
Brendan Hamm
Brendan Hamm le 4 Fév 2016
You are trying to assign to a scalar element of distance_nhood an entire vector and this is a dimension mismatch. The reason for this is that tx and ty are both vectors and not the first node.

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