ml-distance
Version:
Distance and similarity functions to compare vectors
19 lines • 526 B
JavaScript
/**
*Returns Kumar-Hassebrook similarity between vectors a and b
* @link [Kumar-Hassebrook Similarity algorithm](https://www.naun.org/main/NAUN/ijmmas/mmmas-49.pdf)
* @param a - first vector
* @param b - second vector
*
*/
export default function kumarHassebrook(a, b) {
let p = 0;
let p2 = 0;
let q2 = 0;
for (let i = 0; i < a.length; i++) {
p += a[i] * b[i];
p2 += a[i] * a[i];
q2 += b[i] * b[i];
}
return p / (p2 + q2 - p);
}
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