ml-distance
Version:
Distance and similarity functions to compare vectors
16 lines (15 loc) • 487 B
text/typescript
import { NumberArray } from 'cheminfo-types';
/**
*Returns the Kumar-Johnson distance between vectors a and b
* @link [Kumar-Johnson algorithm](https://www.naun.org/main/NAUN/ijmmas/mmmas-49.pdf)
* @param a - first vector
* @param b - second vector
*
*/
export default function kumarJohnson(a: NumberArray, b: NumberArray): number {
let ans = 0;
for (let i = 0; i < a.length; i++) {
ans += (a[i] * a[i] - b[i] * b[i]) ** 2 / (2 * (a[i] * b[i]) ** 1.5);
}
return ans;
}