A probabilistic approach to record linkage using Fellegi-Sunter framework with difference matrix .
https://github.com/arindampaulripon/Probabilistic-Record-Linkage-MatLab
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A probabilistic approach to record linkage using Fellegi-Sunter framework using MatLab . It can be used with any versions of MatLab . Functions are :
readfile % Read any two data file to be linked.
caldiffmatrix(a3,b3); %Calculate difference matrix, the difference of each row of a %datafile from another.
calcofu(a3,b3); %Calculation of U-Probability using frequency of data.
calcweight(A,us); % Calculating weight of each filed using M and U- Probability , %assuming M = 0.99
calcsumofweight(weight); %Calculate weight summation for every linked pair .
Example :
b3 = readfile('b3.csv');
a3 = readfile('a3.csv');
A = caldiffmatrix(a3,b3);
us = calcofu(a3,b3);
weight = calcweight(A,us);
sum = calcsumofweight(weight);
Cite As
Arindam Kumar Paul (2026). Probabilistic-Record-Linkage-MatLab (https://github.com/arindampaulripon/Probabilistic-Record-Linkage-MatLab), GitHub. Retrieved .
General Information
- Version 1.0.0 (9.64 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
