**Answiki**on 09/17/2020 at 09:47:05 AM UTC

# In MATLAB, how to compute the Euclidean distance between two points?

**Answiki**on 09/17/2020 at 09:47:50 AM UTC

With MATLAB, the straightforward way to compute the distance between two points is to compute the norm of the vector defined by the two points. You can use the MATLAB `norm(v)`

function that returns the Euclidean norm of vector v :

```
>> P1 = [1,2];
>> P2 = [2,4];
>> norm (P1 - P2)
ans =
2.2361
```

This also works with 3D or even n-D points.

**Answiki**on 09/17/2020 at 09:47:50 AM

With MATLAB, the straightforward way to compute the distance between two points is to compute the norm of the vector defined by the two points. You can use the MATLAB `norm(v)`

function that returns the Euclidean norm of vector v :

```
>> P1 = [1,2];
>> P2 = [2,4];
>> norm (P1 - P2)
ans =
2.2361
```

This also works with 3D or even n-D points.

**Answiki**on 09/17/2020 at 09:47:45 AM

With MATLAB, the straightforward way to compute the distance between two points is to compute the norm of the vector defined by the two points. You can use the MATLAB `norm(v)`

function that returns the Euclidean norm of vector v :

```
>> P1 = [1,2];
>> P2 = [2,4];
>> norm (P1 - P2)
ans =
2.2361
```

This also works with 3D or even n-D points.

**Answiki**09/17/2020 at 09:47:05 AM

**Answiki**on 09/17/2020 at 09:46:24 AM

`norm(v)`

function that returns the Euclidean norm of vector v :

```
>> P1 = [1,2];
>> P2 = [2,4];
>> norm (P1 - P2)
ans =
2.2361
```

**Answiki**09/17/2020 at 09:39:51 AM

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