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ml-distance

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Distance and similarity functions to compare vectors

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"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); /** *Returns the K divergence distance between vectors a and b * @link [K divergence algorithm](https://www.naun.org/main/NAUN/ijmmas/mmmas-49.pdf) * @param a - first vector * @param b - second vector * */ function kdivergence(a, b) { let ans = 0; for (let i = 0; i < a.length; i++) { ans += a[i] * Math.log((2 * a[i]) / (a[i] + b[i])); } return ans; } exports.default = kdivergence; //# sourceMappingURL=kdivergence.js.map