Minkowski#
The Minkowski distance can be considered as a generalization of both the Euclidean and Manhattan distances. When the lambda parameter is set to 1 or 2, the distance is equivalent to Manhattan and Euclidean respectively.
\[
{\displaystyle Minkowski\left(a,b\right)=\left(\sum _{i=1}^{n}|a_{i}-b_{i}|^{p}\right)^{\frac {1}{p}}}
\]
Data Type Compatibility: Continuous
Parameters#
| # | Name | Default | Type | Description |
|---|---|---|---|---|
| 1 | lambda | 3.0 | float | Controls the curvature of the unit circle drawn from a point at a fixed distance. |
Example#
use Rubix\ML\Kernels\Distance\Minkowski;
$kernel = new Minkowski(4.0);
Last update:
2021-01-25