How to calculate the distance

I have table B as given bellow. I have another point for example A=[100 111 80 120]. I want to calculate the euclidean distance between A and the columns (fourth, fifth, sixth and seventh) of B for each row.

B=

0 1 0 153 119 97 148

0 1 0 148 122 98 149

0 1 0 163 126 95 150

0 1 0 188 150 118 178

[Torsten]

... for each row ? What do you mean ?

[Asad Abbas]

matric B has four rows. I want to claculate the deistance between A and the last four columns of B

such as distance between

153 119 97 148 and A=[100 111 80 120]

148 122 98 149 and A=[100 111 80 120]

163 126 95 150 and A=[100 111 80 120]

188 150 118 178 and A=[100 111 80 120]

Answer 1

[Torsten]

distmat = B(:,4:7)-repmat(A,4,1);
dist = vecnorm(distmat.')

[Asad Abbas]

It is giving error given bellow.

Matrix dimensions must agree.

Error in testA (line 10)

distmat = B(:,4:7)-repmat(A,4,1);

[Alex Mcaulley]

This code should work. Another option is:

distmat = B(:,4:7)-A;
dist = vecnorm(distmat.')

[Torsten]

Works for me:

A = [100 111 80 120];
B =  [0,1,	0,      153,	119,	97,	148;...
     0,	1,	0,	148,	122,	98,	149;...
     0,	1,	0,	163,	126,	95,	150;...
     0,	1,	0,	188,	150,	118,    178];
distmat = B(:,4:7)-repmat(A,4,1);
dist = vecnorm(distmat.')

[Asad Abbas]

Now its working.

Thank you so much.

Answer 2

[Alex Mcaulley]

What do you mean by distance? euclidean, just the difference...

If you are looking for the difference:

B = [0	1	0	153	119	97	148;
0	1	0	148	122	98	149;
0	1	0	163	126	95	150;
0	1	0	188	150	118	178];
A = [100 111 80 120];
res = B(:,4:7)-A;

[Asad Abbas]

I mean euclidean distance.