ml-distance
Version:
Distance and similarity functions to compare vectors
18 lines • 492 B
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
/**
*Returns the Neyman distance between vectors a and b
* @link [Neyman algorithm](https://www.naun.org/main/NAUN/ijmmas/mmmas-49.pdf)
* @param a - first vector
* @param b - second vector
*
*/
function neyman(a, b) {
let d = 0;
for (let i = 0; i < a.length; i++) {
d += ((a[i] - b[i]) * (a[i] - b[i])) / a[i];
}
return d;
}
exports.default = neyman;
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