mirror of
https://github.com/TheAlgorithms/JavaScript.git
synced 2025-07-06 01:18:23 +08:00
47 lines
1.2 KiB
JavaScript
47 lines
1.2 KiB
JavaScript
/**
|
|
* @function calculateLevenshteinDp
|
|
* @description A Dynamic Programming based solution for calculation of the Levenshtein Distance.
|
|
* @param {String} x - Word to be converted.
|
|
* @param {String} y - Desired result after operations.
|
|
* @return {Integer} The Levenshtein distance between x and y.
|
|
* @see [Levenshtein_distance](https://en.wikipedia.org/wiki/Levenshtein_distance)
|
|
*/
|
|
|
|
function minimum (a, b, c) {
|
|
if (a < b && a < c) {
|
|
return a
|
|
} else if (b < a && b < c) {
|
|
return b
|
|
} else {
|
|
return c
|
|
}
|
|
}
|
|
|
|
function costOfSubstitution (x, y) {
|
|
return x === y ? 0 : 1
|
|
}
|
|
|
|
// Levenshtein distance between x and y
|
|
function calculateLevenshteinDp (x, y) {
|
|
const dp = new Array(x.length + 1)
|
|
for (let i = 0; i < x.length + 1; i++) {
|
|
dp[i] = new Array(y.length + 1)
|
|
}
|
|
|
|
for (let i = 0; i < x.length + 1; i++) {
|
|
for (let j = 0; j < y.length + 1; j++) {
|
|
if (i === 0) {
|
|
dp[i][j] = j
|
|
} else if (j === 0) {
|
|
dp[i][j] = i
|
|
} else {
|
|
dp[i][j] = minimum(dp[i - 1][j - 1] + costOfSubstitution(x.charAt(i - 1), y.charAt(j - 1)), dp[i - 1][j] + 1, dp[i][j - 1] + 1)
|
|
}
|
|
}
|
|
}
|
|
|
|
return dp[x.length][y.length]
|
|
}
|
|
|
|
export { calculateLevenshteinDp }
|