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**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**



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.

Version	Release Date	Download Link
1.0.0	December 16, 2024
Hamming Distance is a metric used to measure the difference between two strings of equal length. It counts the number of positions at which the corresponding symbols (characters) are different. Hamming Distance between two strings is the total number of positions in which the characters differ. The strings must have the same length. If the strings have different lengths, the Hamming Distance is undefined. Usage Instructions Download the workflow and place the Hamming Distance worklow into your project. Configure the inputs (`String1` and `String2`) and assign the output to a variable. Handle exceptions to ensure workflows continue even if invalid inputs are provided.

Hamming Distance - String Matching Algorithm