a6e5b969-be6e-4756-ae53-47d3cb899ca4.png

73f5fe71-5895-483c-8c1b-dcfe856abc4d.jpg

RPA Developer

bb0a536e-c5c5-46e8-9e97-49ea433f3970.nupkg

The Levenshtein algorithm (also called Edit-Distance) calculates the least number of edit operations that are necessary to modify one string to obtain another string. The most common way of calculating this is by the dynamic programming approach. A matrix is initialized measuring in the (m,n)-cell the Levenshtein distance between the m-character prefix of one with the n-prefix of the other word. The matrix can be filled from the upper left to the lower right corner. Each jump horizontally or vertically corresponds to an insert or a delete, respectively. The cost is normally set to 1 for each of the operations. The diagonal jump can cost either one, if the two characters in the row and column do not match or 0, if they do. Each cell always minimizes the cost locally. This way the number in the lower right corner is the Levenshtein distance between both words.

The activity accepts two string and returns a similarity percentage in the type System.Single between two strings using Levenshtein Algorithm.

Version	Release Date	Download Link
1.0.0	September 3, 2019
It is the first version

Levenshtein Distance Algorithm-String Comparison