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Hamming Distance - String Matching Algorithm

Hamming Distance - String Matching Algorithm

by Internal Labs

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Summary

Summary

Hamming Distance measures the difference between two equal-length strings by counting differing positions. It's used in error detection, genomics, and text comparison to assess string similarity.

Overview

Overview

Hamming Distance is a measure used to quantify the difference between two strings of equal length. It is defined as the number of positions at which the corresponding symbols (characters or bits) in the two strings are different. The concept was introduced by American mathematician Richard Hamming in 1950 and has since become a fundamental tool in fields such as error detection, coding theory, genomics, and text comparison.

Properties of Hamming Distance

  1. Symmetry: The Hamming Distance between two strings is the same regardless of the order of the strings. That is, D(A,B)=D(B,A)D(A, B) = D(B, A)D(A,B)=D(B,A).
  2. Non-Negative: The Hamming Distance is always a non-negative integer, with a value of 0 when the strings are identical.
  3. Zero Distance: If two strings are identical, their Hamming Distance is 0, meaning no positions are different.
  4. Length Constraint: The Hamming Distance is only defined for strings of equal length. If the strings have different lengths, it is either undefined or must be preprocessed to make them equal in length (such as by padding one of them).

Applications of Hamming Distance

  1. Error Detection and Correction

  2. Genomics

  3. Text Comparison

  4. Cryptography

  5. Machine Learning and Pattern Recognition

  6. Compression and File Integrity

Features

Features

  • Hamming Distance Calculation Activity: UiPath workflow for calculating Hamming Distance between two strings of equal length. Outputs the number of character mismatches, supporting various automation scenarios.
  • Input Validation: Validates that both input strings are non-empty and of equal length. Provides meaningful error messages for invalid inputs.
  • User-Friendly Design: Download workflow and place into project folderConfigurable input parameters:String1: First input string.String2: Second input string.Output parameter:Distance: Integer output representing the Hamming Distance.
  • Integration: Easily integrates into existing workflows for data validation, comparison, or error-checking processes. Use cases include comparing binary sequences, text analytics, or DNA sequence analysis.
  • Performance: Optimized to handle short- to medium-length strings efficiently. Real-time computation with minimal resource usage.

Additional Information

Additional Information

Dependencies

UiPath.System.Activities: 23.10.2

Code Language

Visual Basic

Publisher

Internal Labs

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License & Privacy

License Agreement

Privacy Terms

Technical

Version

1.0.0

Updated

December 16, 2024

Works with

Studio: 22.10.12 - 24.10.4

Certification

Silver Certified

Support

UiPath Community Support

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