Distance With Metric
00000000-4217-470f-9114-6d29ced4257b
Compute the distance between two coordinates using a specific metric. Note that unlike regular Distance, this component operates on N-Dimensional points.
The available metrics are:
| Value | Name | Info |
|---|---|---|
0 |
Euclidean | Linear distance measured along the geodesic. |
1 |
Quadrance | Square of the Euclidean distance. |
2 |
Manhattan | Sum of absolute differences per dimension, also called the 'L1−norm'. |
3 |
Canberra | Weighted version of Manhattan distance. |
4 |
Angular | Angular separation as measured from the world origin. |
5 |
Radial | Difference in Euclidean distances to the world origin. |
6 |
Pearson | One minus the Pearson correlation coefficient. |
7 |
Jaccard | One minus the Jaccard index. |
8 |
Chebyshev | The Infinity−norm. |
9 |
Hamming | The number of differing coordinate values. |
10 |
MAE | Normalised Manhattan distance. I.e. Manhattan distance divided by the dimensionality. |
11 |
MSE | Normalised Quadrance. I.e. Quadrance divided by the dimensionality. |
12 |
RMSE | The root of the Mean−Squared−Error. |
