How is the correct way to calculate distance of each data points between two vectors
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Hi, I would like to compute distance between two vectors. However, the result does not yields the expected outcome. First code:
X = rand(3,2)
D0 = pdist(X)
D1 = pdist(X,'minkowski')
X =
0.8147 0.9134
0.9058 0.6324
0.1270 0.0975
D1 =
0.2954 1.0670 0.9448
If i generate the random 3x2 data, the output yields as expectation. However, if i'm using the same function on the vectors, the result appears in the weird way as below Second code::
X1 = [4,10,1,1,2,7,12,5,6,10];
X2 = [3,9,7,8,2,7,12,5,1,3];
X = [X1;X2]'
output:
X =
4 3
10 9
1 7
1 8
2 2
7 7
12 12
5 5
6 1
10 3
D1 =
Columns 1 through 10
8.4853 5.0000 5.8310 2.2361 5.0000 12.0416 2.2361 2.8284 6.0000 9.2195
Columns 11 through 20
9.0554 10.6301 3.6056 3.6056 6.4031 8.9443 6.0000 1.0000 5.0990 6.0000
Columns 21 through 30
12.0830 4.4721 7.8102 9.8489 6.0828 6.0828 11.7047 5.0000 8.6023 10.2956
Columns 31 through 40
7.0711 14.1421 4.2426 4.1231 8.0623 7.0711 2.8284 6.0828 5.0000 9.8995
Columns 41 through 45
12.5300 9.2195 4.1231 5.3852 4.4721
I do wonder, why do the results must be 45 points of distance. By right, the result is supposed to produce 11 points of distance because my purpose it to compute the distance of each data points in vector 1 and vector 2 and i also just have 11 data points in vector 1 and vector 2. Appreciate if anyone could advice me to improve my code. Thanks
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Risposta accettata
javad ebrahimi
il 19 Feb 2018
Hi,your Pairwise distance type calculate:
this code can help you
clc
clear
X = rand(3,2);
D1 = length(X(:,1)-X(:,2));
Più risposte (1)
javad ebrahimi
il 24 Feb 2018
Hi amj you can use this code:
clc
clear
X1 = [4,10,1,1,2,7,12,5,6,10];
X2 = [3,9,7,8,2,7,12,5,1,3];
X = [X1;X2]'
D1 = length(X(:,1)-X(:,2));
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