ml-distance
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Distance and similarity functions to compare vectors
19 lines (18 loc) • 468 B
text/typescript
import { NumberArray } from 'cheminfo-types';
/**
*Returns the Jensen-Shannon distance between vectors a and b
* @link [Kullback-Leibler algorithm](https://www.naun.org/main/NAUN/ijmmas/mmmas-49.pdf)
* @param a - first vector
* @param b - second vector
*
*/
export default function kullbackLeibler(
a: NumberArray,
b: NumberArray,
): number {
let ans = 0;
for (let i = 0; i < a.length; i++) {
ans += a[i] * Math.log(a[i] / b[i]);
}
return ans;
}