ml-distance
Version:
Distance and similarity functions to compare vectors
19 lines (14 loc) • 432 B
text/typescript
import { NumberArray } from 'cheminfo-types';
import mean from 'ml-array-mean';
import cosine from './cosine';
export default function pearson(a: NumberArray, b: NumberArray): number {
let avgA = mean(a);
let avgB = mean(b);
let newA = new Array(a.length);
let newB = new Array(b.length);
for (let i = 0; i < newA.length; i++) {
newA[i] = a[i] - avgA;
newB[i] = b[i] - avgB;
}
return cosine(newA, newB);
}